{ "_id": "6a12bd1facfb0bcc41d1c932", "Package": "fitdistcp", "Type": "Package", "Title": "Distribution Fitting with Calibrating Priors for Commonly Used\nDistributions", "Version": "0.2.3", "Authors@R": "person(given = \"Stephen\",\nfamily = \"Jewson\",\nrole = c(\"aut\", \"cre\"),\nemail = \"stephen.jewson@gmail.com\",\ncomment = c(ORCID = \"0000-0002-6011-6262\"))", "Maintainer": "Stephen Jewson ", "Description": "Generates predictive distributions based on calibrating\npriors for various commonly used statistical models, including\nmodels with predictors. Routines for densities, probabilities,\nquantiles, random deviates and the parameter posterior are\nprovided. The predictions are generated from the Bayesian\nprediction integral, with priors chosen to give good\nreliability (also known as calibration). For homogeneous\nmodels, the prior is set to the right Haar prior, giving\npredictions which are exactly reliable. As a result, in\nrepeated testing, the frequencies of out-of-sample outcomes and\nthe probabilities from the predictions agree. For other models,\nthe prior is chosen to give good reliability. Where possible,\nthe Bayesian prediction integral is solved exactly. Where exact\nsolutions are not possible, the Bayesian prediction integral is\nsolved using the Datta-Mukerjee-Ghosh-Sweeting (DMGS)\nasymptotic expansion. Optionally, the prediction integral can\nalso be solved using posterior samples generated using Paul\nNorthrop's ratio of uniforms sampling package ('rust'). Results\nare also generated based on maximum likelihood, for comparison\npurposes. Various model selection diagnostics and testing\nroutines are included. Based on \"Reducing reliability bias in\nassessments of extreme weather risk using calibrating priors\",\nJewson, S., Sweeting, T. and Jewson, L. (2024);\n.", "License": "MIT + file LICENSE", "BugReports": "https://github.com/stephenjewson/fitdistcp/issues", "URL": "https://www.fitdistcp.info", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "Repository": "https://stephenjewson.r-universe.dev", "Date/Publication": "2025-11-25 18:02:59 UTC", "RemoteUrl": "https://github.com/stephenjewson/fitdistcp", "RemoteRef": "HEAD", "RemoteSha": "9c7633612e5ed96d0866177933f483810f9ad779", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-24 08:50:40 UTC", "User": "root" }, "Author": "Stephen Jewson [aut, cre] (ORCID:\n)", "MD5sum": "4545af686c4f47edb81d53bbd4e004e6", "_user": "stephenjewson", "_type": "src", "_file": "fitdistcp_0.2.3.tar.gz", "_fileid": "57ff9846fbbba85e67fb3cccc85319eb27b6ea4d2317c6c430b9e63405a23152", "_filesize": 2089375, "_sha256": "57ff9846fbbba85e67fb3cccc85319eb27b6ea4d2317c6c430b9e63405a23152", "_created": "2026-05-24T08:50:40.000Z", "_published": 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"invgamma_mu2f", "invgamma_p1f", "invgamma_p2f", "invgamma_waic", "invgauss_f1f", "invgauss_f1fa", "invgauss_f2f", "invgauss_f2fa", "invgauss_fd", "invgauss_fdd", "invgauss_ldd", "invgauss_ldda", "invgauss_lddd", "invgauss_lddda", "invgauss_lmn", "invgauss_lmnp", "invgauss_logf", "invgauss_logfdd", "invgauss_logfddd", "invgauss_loglik", "invgauss_logscores", "invgauss_means", "invgauss_mu1f", "invgauss_mu2f", "invgauss_p1f", "invgauss_p2f", "invgauss_waic", "jpf2p", "jpf3p", "jpf4p", "lnorm_dmgs_loglik", "lnorm_dmgs_logscores", "lnorm_dmgs_means", "lnorm_dmgs_waic", "lnorm_f1fa", "lnorm_f2fa", "lnorm_fd", "lnorm_fdd", "lnorm_ldda", "lnorm_lddda", "lnorm_logf", "lnorm_logfdd", "lnorm_logfddd", "lnorm_logscores", "lnorm_mu1fa", "lnorm_mu2fa", "lnorm_p1_f1fa", "lnorm_p1_f1fw", "lnorm_p1_f2fa", "lnorm_p1_f2fw", "lnorm_p1_fd", "lnorm_p1_fdd", "lnorm_p1_ldda", "lnorm_p1_lddda", "lnorm_p1_logf", "lnorm_p1_logfdd", "lnorm_p1_logfddd", "lnorm_p1_loglik", "lnorm_p1_logscores", "lnorm_p1_mu1fa", "lnorm_p1_mu2fa", "lnorm_p1_p1fa", "lnorm_p1_p2fa", "lnorm_p1_pd", "lnorm_p1_pdd", "lnorm_p1_predictordata", "lnorm_p1_waic", "lnorm_p1fa", "lnorm_p2fa", "lnorm_pd", "lnorm_pdd", "lnorm_waic", "logis_f1fa", "logis_f2fa", "logis_fd", "logis_fdd", "logis_ldda", "logis_lddda", "logis_logf", "logis_logfdd", "logis_logfddd", "logis_loglik", "logis_logscores", "logis_mu1fa", "logis_mu2fa", "logis_p1_f1fa", "logis_p1_f1fw", "logis_p1_f2fa", "logis_p1_f2fw", "logis_p1_fd", "logis_p1_fdd", "logis_p1_ldda", "logis_p1_lddda", "logis_p1_logf", "logis_p1_logfdd", "logis_p1_logfddd", "logis_p1_loglik", "logis_p1_logscores", "logis_p1_means", "logis_p1_mu1fa", "logis_p1_mu2fa", "logis_p1_p1fa", "logis_p1_p2fa", "logis_p1_pd", "logis_p1_pdd", "logis_p1_predictordata", "logis_p1_waic", "logis_p1fa", "logis_p2fa", "logis_pd", "logis_pdd", "logis_waic", "lst_k3_f1f", "lst_k3_f1fa", "lst_k3_f2f", "lst_k3_f2fa", "lst_k3_fd", "lst_k3_fdd", "lst_k3_ldd", "lst_k3_ldda", "lst_k3_lddd", "lst_k3_lddda", "lst_k3_lmn", "lst_k3_lmnp", "lst_k3_logf", "lst_k3_logfdd", "lst_k3_logfddd", "lst_k3_loglik", "lst_k3_logscores", "lst_k3_mu1f", "lst_k3_mu2f", "lst_k3_p1f", "lst_k3_p2f", "lst_k3_waic", "lst_p1k3_f1f", "lst_p1k3_f1fa", "lst_p1k3_f1fw", "lst_p1k3_f2f", "lst_p1k3_f2fa", "lst_p1k3_f2fw", "lst_p1k3_fd", "lst_p1k3_fdd", "lst_p1k3_ldd", "lst_p1k3_ldda", "lst_p1k3_lddd", "lst_p1k3_lddda", "lst_p1k3_lmn", "lst_p1k3_lmnp", "lst_p1k3_logf", "lst_p1k3_logfdd", "lst_p1k3_logfddd", "lst_p1k3_loglik", "lst_p1k3_logscores", "lst_p1k3_mu1f", "lst_p1k3_mu2f", "lst_p1k3_p1f", "lst_p1k3_p2f", "lst_p1k3_predictordata", "lst_p1k3_setics", "lst_p1k3_waic", "make_cwaic", "make_maic", "make_se", "make_waic", "makebetat0", "makebetatm", "makemuhat0", "makeq", "maket0", "maketresid0", "man", "man1f", "man2f", "manboot", "mancheckmle", "mandsub", "manf", "manldd", "manlddd", "manlnn", "manlnnn", "manlogf", "manloglik", "manlogscores", "manmeans", "manpredictor", "manvector", "manwaic", "movexiawayfromzero", "ms_flat_1tail", "ms_flat_2tail", "ms_predictors_1tail", "ms_predictors_2tail", "nopdfcdfmsg", "norm_boot", "norm_dmgs_loglik", "norm_dmgs_logscores", "norm_dmgs_means", "norm_dmgs_waic", "norm_f1fa", "norm_f2fa", "norm_fd", "norm_fdd", "norm_ldda", "norm_lddda", "norm_logf", "norm_logfdd", "norm_logfddd", "norm_logscores", "norm_ml_params", "norm_mu1fa", "norm_mu2fa", "norm_p1_f1fa", "norm_p1_f1fw", "norm_p1_f2fa", "norm_p1_f2fw", "norm_p1_fd", "norm_p1_fdd", "norm_p1_ldda", "norm_p1_lddda", "norm_p1_logf", "norm_p1_logfdd", "norm_p1_logfddd", "norm_p1_loglik", "norm_p1_logscores", "norm_p1_mlparams", "norm_p1_mu1fa", "norm_p1_mu2fa", "norm_p1_p1fa", "norm_p1_p2fa", "norm_p1_pd", "norm_p1_pdd", "norm_p1_predictordata", "norm_p1_waic", "norm_p12_boot", "norm_p12_checkmle", "norm_p12_exampledata", "norm_p12_f1fa", "norm_p12_f1fw", "norm_p12_f2fa", "norm_p12_f2fw", "norm_p12_fd", "norm_p12_fdd", "norm_p12_ldda", "norm_p12_lddda", "norm_p12_logf", "norm_p12_logfdd", "norm_p12_logfddd", "norm_p12_loglik", "norm_p12_logscores", "norm_p12_mu1fa", "norm_p12_mu2fa", "norm_p12_p1fa", "norm_p12_p2fa", "norm_p12_pd", "norm_p12_pdd", "norm_p12_predictordata", "norm_p12_setics", "norm_p12_waic", "norm_p1fa", "norm_p2fa", "norm_pd", "norm_pdd", "norm_unbiasedv_params", "norm_waic", "pareto_k2_f1fa", "pareto_k2_f2fa", "pareto_k2_fd", "pareto_k2_fdd", "pareto_k2_ldda", "pareto_k2_lddda", "pareto_k2_logf", "pareto_k2_logfdd", "pareto_k2_logfddd", "pareto_k2_logscores", "pareto_k2_ml_params", "pareto_k2_mu1fa", "pareto_k2_mu2fa", "pareto_k2_p1fa", "pareto_k2_p2fa", "pareto_k2_pd", "pareto_k2_pdd", "pareto_k2_waic", "pareto_p1k2_f1fa", "pareto_p1k2_f1fw", "pareto_p1k2_f2fa", "pareto_p1k2_f2fw", "pareto_p1k2_fd", "pareto_p1k2_fdd", "pareto_p1k2_ldda", "pareto_p1k2_lddda", "pareto_p1k2_logf", "pareto_p1k2_logfdd", "pareto_p1k2_logfddd", "pareto_p1k2_loglik", "pareto_p1k2_logscores", "pareto_p1k2_means", "pareto_p1k2_mu1fa", "pareto_p1k2_mu2fa", "pareto_p1k2_p1fa", "pareto_p1k2_p2fa", "pareto_p1k2_pd", "pareto_p1k2_pdd", "pareto_p1k2_predictordata", "pareto_p1k2_waic", "pcauchy_cp", "pcauchy_p1", "pcauchy_p1_cp", "pexp_cp", "pexp_p1", "pexp_p1_cp", "pfrechet_k1_cp", "pfrechet_p2k1", "pfrechet_p2k1_cp", "pgamma_cp", "pgev_cp", "pgev_k3_cp", "pgev_p1", "pgev_p1_cp", "pgev_p12", "pgev_p12_cp", "pgev_p123", "pgev_p123_cp", "pgev_p1k3", "pgev_p1k3_cp", "pgev_p1n", "pgev_p1n_cp", "pgnorm_k3_cp", "pgpd_k1_cp", "pgumbel_cp", "pgumbel_p1", "pgumbel_p1_cp", "phalfnorm_cp", "pinvgamma_cp", "pinvgauss_cp", "plnorm_cp", "plnorm_dmgs_cp", "plnorm_p1", "plnorm_p1_cp", "plogis_cp", "plogis_p1", "plogis_p1_cp", "plst_k3_cp", "plst_p1k3", "plst_p1k3_cp", "pnorm_cp", "pnorm_dmgs_cp", "pnorm_p1", "pnorm_p1_cp", "pnorm_p1_formula", "pnorm_p12", "pnorm_p12_cp", "ppareto_k2_cp", "ppareto_p1k2", "ppareto_p1k2_cp", "punif_cp", "punif_formula", "pweibull_cp", "pweibull_p2", "pweibull_p2_cp", "qcauchy_cp", "qcauchy_p1", "qcauchy_p1_cp", "qexp_cp", "qexp_p1", "qexp_p1_cp", "qfrechet_k1_cp", "qfrechet_p2k1", "qfrechet_p2k1_cp", "qgamma_cp", "qgamma_k1_ppm", "qgamma_ppm", "qgev_cp", "qgev_k12_ppm", "qgev_k3_cp", "qgev_mpd_ppm", "qgev_p1", "qgev_p1_cp", "qgev_p1_ppm", "qgev_p12", "qgev_p12_cp", "qgev_p123", "qgev_p123_cp", "qgev_p1k3", "qgev_p1k3_cp", "qgev_p1n", "qgev_p1n_cp", "qgev_ppm", "qgnorm_k3_cp", "qgpd_k1_cp", "qgpd_k1_ppm", "qgumbel_cp", "qgumbel_p1", "qgumbel_p1_cp", "qhalfnorm_cp", "qinvgamma_cp", "qinvgauss_cp", "qlnorm_cp", "qlnorm_dmgs_cp", "qlnorm_p1", "qlnorm_p1_cp", "qlogis_cp", "qlogis_p1", "qlogis_p1_cp", "qlst_k3_cp", "qlst_p1k3", "qlst_p1k3_cp", "qnorm_cp", "qnorm_dmgs_cp", "qnorm_p1", "qnorm_p1_cp", "qnorm_p1_formula", "qnorm_p12", "qnorm_p12_cp", "qntt_ppm", "qpareto_k2_cp", "qpareto_p1k2", "qpareto_p1k2_cp", "qunif_cp", "qunif_formula", "qweibull_cp", "qweibull_p2", "qweibull_p2_cp", "rcauchy_cp", "rcauchy_p1_cp", "reltest", "reltest_makeep", "reltest_makemaxep", "reltest_params", "reltest_predict", "reltest_simulate", "reltest2", "reltest2_cases", 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"tgpd_k1_cp", "tgumbel_cp", "tgumbel_p1_cp", "thalfnorm_cp", "tinvgamma_cp", "tinvgauss_cp", "tlnorm_cp", "tlnorm_p1_cp", "tlogis_cp", "tlogis_p1_cp", "tlst_k3_cp", "tlst_p1k3_cp", "tnorm_cp", "tnorm_p1_cp", "tnorm_p12_cp", "tpareto_k2_cp", "tpareto_p1k2_cp", "tweibull_cp", "tweibull_p2_cp", "weibull_f1fa", "weibull_f2fa", "weibull_fd", "weibull_fdd", "weibull_ldda", "weibull_lddda", "weibull_logf", "weibull_logfdd", "weibull_logfddd", "weibull_loglik", "weibull_logscores", "weibull_means", "weibull_mu1fa", "weibull_mu2fa", "weibull_p1fa", "weibull_p2_f1fa", "weibull_p2_f1fw", "weibull_p2_f2fa", "weibull_p2_f2fw", "weibull_p2_fd", "weibull_p2_fdd", "weibull_p2_ldda", "weibull_p2_lddda", "weibull_p2_logf", "weibull_p2_logfdd", "weibull_p2_logfddd", "weibull_p2_loglik", "weibull_p2_logscores", "weibull_p2_means", "weibull_p2_mu1fa", "weibull_p2_mu2fa", "weibull_p2_p1fa", "weibull_p2_p2fa", "weibull_p2_pd", "weibull_p2_pdd", "weibull_p2_predictordata", "weibull_p2_waic", "weibull_p2fa", 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"This is data to be included in my package", "topics": [ "d063lst_p1k3_example_data_v1_t" ] }, { "page": "d063lst_p1k3_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d063lst_p1k3_example_data_v1_x" ] }, { "page": "d064cauchy_p1_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d064cauchy_p1_example_data_v1_t" ] }, { "page": "d064cauchy_p1_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d064cauchy_p1_example_data_v1_x" ] }, { "page": "d070gumbel_p1_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d070gumbel_p1_example_data_v1_t" ] }, { "page": "d070gumbel_p1_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d070gumbel_p1_example_data_v1_x" ] }, { "page": "d071frechet_p2k1_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d071frechet_p2k1_example_data_v1_t" ] }, { "page": "d071frechet_p2k1_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d071frechet_p2k1_example_data_v1_x" ] }, { "page": "d072weibull_p1_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d072weibull_p1_example_data_v1_t" ] }, { "page": "d072weibull_p1_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d072weibull_p1_example_data_v1_x" ] }, { "page": "d073weibull_p2_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d073weibull_p2_example_data_v1_t" ] }, { "page": "d073weibull_p2_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d073weibull_p2_example_data_v1_x" ] }, { "page": "d074gev_p1k3_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d074gev_p1k3_example_data_v1_t" ] }, { "page": "d074gev_p1k3_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d074gev_p1k3_example_data_v1_x" ] }, { "page": "d080norm_p12_example_data_v1_t1", "title": "This is data to be included in my package", "topics": [ "d080norm_p12_example_data_v1_t1" ] }, { "page": "d080norm_p12_example_data_v1_t2", "title": "This is data to be included in my package", "topics": [ "d080norm_p12_example_data_v1_t2" ] }, { "page": "d080norm_p12_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d080norm_p12_example_data_v1_x" ] }, { "page": "d081lst_p12k3_example_data_v1_t1", "title": "This is data to be included in my package", "topics": [ "d081lst_p12k3_example_data_v1_t1" ] }, { "page": "d081lst_p12k3_example_data_v1_t2", "title": "This is data to be included in my package", "topics": [ "d081lst_p12k3_example_data_v1_t2" ] }, { "page": "d081lst_p12k3_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d081lst_p12k3_example_data_v1_x" ] }, { "page": "d082weibull_p12_example_data_v1_t1", "title": "This is data to be included in my package", "topics": [ "d082weibull_p12_example_data_v1_t1" ] }, { "page": "d082weibull_p12_example_data_v1_t2", "title": "This is data to be included in my package", "topics": [ "d082weibull_p12_example_data_v1_t2" ] }, { "page": "d082weibull_p12_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d082weibull_p12_example_data_v1_x" ] }, { "page": "d100gamma_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d100gamma_example_data_v1" ] }, { "page": "d101invgamma_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d101invgamma_example_data_v1" ] }, { "page": "d102invgauss_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d102invgauss_example_data_v1" ] }, { "page": "d105burr_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d105burr_example_data_v1" ] }, { "page": "d110gev_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d110gev_example_data_v1" ] }, { "page": "d120gpd_k1_example_data_v1", "title": "This is data to be included in my package", "topics": [ "d120gpd_k1_example_data_v1" ] }, { "page": "d150gev_p1_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d150gev_p1_example_data_v1_t" ] }, { "page": "d150gev_p1_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d150gev_p1_example_data_v1_x" ] }, { "page": "d151gev_p12_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d151gev_p12_example_data_v1_t" ] }, { "page": "d151gev_p12_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d151gev_p12_example_data_v1_x" ] }, { "page": "d152gev_p123_example_data_v1_t", "title": "This is data to be included in my package", "topics": [ "d152gev_p123_example_data_v1_t" ] }, { "page": "d152gev_p123_example_data_v1_x", "title": "This is data to be included in my package", "topics": [ "d152gev_p123_example_data_v1_x" ] }, { "page": "dcauchy_p1", "title": "Cauchy-with-p1 density function", "topics": [ "dcauchy_p1" ] }, { "page": "dcauchy_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dcauchy_p1sub" ] }, { "page": "dcauchysub", "title": "Densities from MLE and RHP", "topics": [ "dcauchysub" ] }, { "page": "deriv_copyfdd", "title": "Extract the results from derivatives and put them into f2", "topics": [ "deriv_copyfdd" ] }, { "page": "deriv_copyld2", "title": "Extract the results from derivatives and put them into ldd", "topics": [ "deriv_copyld2" ] }, { "page": "deriv_copyldd", "title": "Extract the results from derivatives and put them into ldd", "topics": [ "deriv_copyldd" ] }, { "page": "deriv_copylddd", "title": "Extract the results from derivatives and put them into lddd", "topics": [ "deriv_copylddd" ] }, { "page": "dexp_p1", "title": "Exponential-with-p1 density function", "topics": [ "dexp_p1" ] }, { "page": "dexp_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dexp_p1sub" ] }, { "page": "dexpsub", "title": "Densities from MLE and RHP", "topics": [ "dexpsub" ] }, { "page": "dfrechet_p2k1", "title": "Frechet_k1-with-p2 density function", "topics": [ "dfrechet_p2k1" ] }, { "page": "dfrechet_p2k1sub", "title": "Densities from MLE and RHP", "topics": [ "dfrechet_p2k1sub" ] }, { "page": "dfrechetsub", "title": "Densities from MLE and RHP", "topics": [ "dfrechetsub" ] }, { "page": "dgammasub", "title": "Densities from MLE and RHP", "topics": [ "dgammasub" ] }, { "page": "dgev_k3sub", "title": "Densities from MLE and RHP", "topics": [ "dgev_k3sub" ] }, { "page": "dgev_p1", "title": "GEVD-with-p1: Density function", "topics": [ "dgev_p1" ] }, { "page": "dgev_p12", "title": "GEVD-with-p1: Density function", "topics": [ "dgev_p12" ] }, { "page": "dgev_p123", "title": "GEVD-with-p1: Density function", "topics": [ "dgev_p123" ] }, { "page": "dgev_p123sub", "title": "Densities for 5 predictions", "topics": [ "dgev_p123sub" ] }, { "page": "dgev_p12sub", "title": "Densities for 5 predictions", "topics": [ "dgev_p12sub" ] }, { "page": "dgev_p1k3", "title": "GEV-with-known-shape-with-p1 density function", "topics": [ "dgev_p1k3" ] }, { "page": "dgev_p1k3sub", "title": "Densities from MLE and RHP", "topics": [ "dgev_p1k3sub" ] }, { "page": "dgev_p1n", "title": "GEVD-with-p1: Density function", "topics": [ "dgev_p1n" ] }, { "page": "dgev_p1nsub", "title": "Densities for 5 predictions", "topics": [ "dgev_p1nsub" ] }, { "page": "dgev_p1sub", "title": "Densities for 5 predictions", "topics": [ "dgev_p1sub" ] }, { "page": "dgevsub", "title": "Densities for 5 predictions", "topics": [ "dgevsub" ] }, { "page": "dgnorm_k3sub", "title": "Densities from MLE and RHP", "topics": [ "dgnorm_k3sub" ] }, { "page": "dgpdsub", "title": "Densities for 5 predictions", "topics": [ "dgpdsub" ] }, { "page": "dgumbel_p1", "title": "Gumbel-with-p1 density function", "topics": [ "dgumbel_p1" ] }, { "page": "dgumbel_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dgumbel_p1sub" ] }, { "page": "dgumbelsub", "title": "Densities from MLE and RHP", "topics": [ "dgumbelsub" ] }, { "page": "dhalfnormsub", "title": "Densities from MLE and RHP", "topics": [ "dhalfnormsub" ] }, { "page": "dinvgammasub", "title": "Densities from MLE and cp", "topics": [ "dinvgammasub" ] }, { "page": "dinvgausssub", "title": "Densities from MLE and RHP", "topics": [ "dinvgausssub" ] }, { "page": "dlnorm_dmgssub", "title": "Densities from MLE and RHP", "topics": [ "dlnorm_dmgssub" ] }, { "page": "dlnorm_p1", "title": "Normal-with-p1 density function", "topics": [ "dlnorm_p1" ] }, { "page": "dlnorm_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dlnorm_p1sub" ] }, { "page": "dlnormsub", "title": "Densities from MLE and RHP", "topics": [ "dlnormsub" ] }, { "page": "dlogis_p1", "title": "Logistic-with-p1 density function", "topics": [ "dlogis_p1" ] }, { "page": "dlogis_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dlogis_p1sub" ] }, { "page": "dlogis2sub", "title": "Densities from MLE and RHP", "topics": [ "dlogis2sub" ] }, { "page": "dlst_k3sub", "title": "Densities from MLE and RHP", "topics": [ "dlst_k3sub" ] }, { "page": "dlst_p1k3", "title": "LST-with-p1 density function", "topics": [ "dlst_p1k3" ] }, { "page": "dlst_p1k3sub", "title": "Densities from MLE and RHP", "topics": [ "dlst_p1k3sub" ] }, { "page": "dmgs", "title": "Evaluate DMGS equation 3.3", "topics": [ "dmgs" ] }, { "page": "dnorm_dmgssub", "title": "Densities from MLE and RHP", "topics": [ "dnorm_dmgssub" ] }, { "page": "dnorm_p1", "title": "Normal-with-p1 density function", "topics": [ "dnorm_p1" ] }, { "page": "dnorm_p1_formula", "title": "Linear regression formula, densities", "topics": [ "dnorm_p1_formula" ] }, { "page": "dnorm_p12", "title": "Normal-with-p12: Density function", "topics": [ "dnorm_p12" ] }, { "page": "dnorm_p12dmgs", "title": "Densities for 5 predictions", "topics": [ "dnorm_p12dmgs" ] }, { "page": "dnorm_p1sub", "title": "Densities from MLE and RHP", "topics": [ "dnorm_p1sub" ] }, { "page": "dnormsub", "title": "Densities from MLE and RHP", "topics": [ "dnormsub" ] }, { "page": "dpareto_k2_sub", "title": "Densities from MLE and RHP", "topics": [ "dpareto_k2_sub" ] }, { "page": "dpareto_p1k2", "title": "pareto_k1-with-p2 density function", "topics": [ "dpareto_p1k2" ] }, { "page": "dpareto_p1k2sub", "title": "Densities from MLE and RHP", "topics": [ "dpareto_p1k2sub" ] }, { "page": "dunif_formula", "title": "Predictive PDFs", "topics": [ "dunif_formula" ] }, { "page": "dweibull_p2", "title": "Weibull-with-p1 density function", "topics": [ "dweibull_p2" ] }, { "page": "dweibull_p2sub", "title": "Densities from MLE and RHP", "topics": [ "dweibull_p2sub" ] }, { "page": "dweibullsub", "title": "Densities from MLE and RHP", "topics": [ "dweibullsub" ] }, { "page": "exp_cp", "title": "Exponential Distribution Predictions Based on a Calibrating Prior", "topics": [ "dexp_cp", "exp_cp", "pexp_cp", "qexp_cp", "rexp_cp", "texp_cp" ] }, { "page": "exp_f1fa", "title": "The first derivative of the density", "topics": [ "exp_f1fa" ] }, { "page": "exp_f2fa", "title": "The second derivative of the density", "topics": [ "exp_f2fa" ] }, { "page": "exp_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_fd" ] }, { "page": "exp_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_fdd" ] }, { "page": "exp_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "exp_ldda" ] }, { "page": "exp_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "exp_lddda" ] }, { "page": "exp_logf", "title": "Logf for RUST", "topics": [ "exp_logf" ] }, { "page": "exp_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_logfdd" ] }, { "page": "exp_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_logfddd" ] }, { "page": "exp_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "exp_logscores" ] }, { "page": "exp_p1_cp", "title": "Exponential Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dexp_p1_cp", "exp_p1_cp", "pexp_p1_cp", "qexp_p1_cp", "rexp_p1_cp", "texp_p1_cp" ] }, { "page": "exp_p1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "exp_p1_f1fa" ] }, { "page": "exp_p1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "exp_p1_f1fw" ] }, { "page": "exp_p1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "exp_p1_f2fa" ] }, { "page": "exp_p1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "exp_p1_f2fw" ] }, { "page": "exp_p1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_fd" ] }, { "page": "exp_p1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_fdd" ] }, { "page": "exp_p1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "exp_p1_ldda" ] }, { "page": "exp_p1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "exp_p1_lddda" ] }, { "page": "exp_p1_logf", "title": "Logf for RUST", "topics": [ "exp_p1_logf" ] }, { "page": "exp_p1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_logfdd" ] }, { "page": "exp_p1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_logfddd" ] }, { "page": "exp_p1_loglik", "title": "observed log-likelihood function", "topics": [ "exp_p1_loglik" ] }, { "page": "exp_p1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "exp_p1_logscores" ] }, { "page": "exp_p1_means", "title": "exp distribution: RHP means", "topics": [ "exp_p1_means" ] }, { "page": "exp_p1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "exp_p1_mu1fa" ] }, { "page": "exp_p1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "exp_p1_mu2fa" ] }, { "page": "exp_p1_p1fa", "title": "The first derivative of the cdf", "topics": [ "exp_p1_p1fa" ] }, { "page": "exp_p1_p2fa", "title": "The second derivative of the cdf", "topics": [ "exp_p1_p2fa" ] }, { "page": "exp_p1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_pd" ] }, { "page": "exp_p1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_p1_pdd" ] }, { "page": "exp_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "exp_p1_predictordata" ] }, { "page": "exp_p1_waic", "title": "Waic", "topics": [ "exp_p1_waic" ] }, { "page": "exp_p1fa", "title": "The first derivative of the cdf", "topics": [ "exp_p1fa" ] }, { "page": "exp_p2fa", "title": "The second derivative of the cdf", "topics": [ "exp_p2fa" ] }, { "page": "exp_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_pd" ] }, { "page": "exp_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "exp_pdd" ] }, { "page": "exp_waic", "title": "Waicscores", "topics": [ "exp_waic" ] }, { "page": "findnt", "title": "Find the number of predictors in the predictor", "topics": [ "findnt" ] }, { "page": "fixgevrange", "title": "Deal with situations in which the user wants d or p outside the GEV range", "topics": [ "fixgevrange" ] }, { "page": "fixgpdrange", "title": "Deal with situations in which the user wants d or p outside the GPD range", "topics": [ "fixgpdrange" ] }, { "page": "frechet_k1_cp", "title": "Frechet Distribution Predictions Based on a Calibrating Prior", "topics": [ "dfrechet_k1_cp", "frechet_k1_cp", "pfrechet_k1_cp", "qfrechet_k1_cp", "rfrechet_k1_cp", "tfrechet_k1_cp" ] }, { "page": "frechet_k1_f1fa", "title": "The first derivative of the density", "topics": [ "frechet_k1_f1fa" ] }, { "page": "frechet_k1_f2fa", "title": "The second derivative of the density", "topics": [ "frechet_k1_f2fa" ] }, { "page": "frechet_k1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_fd" ] }, { "page": "frechet_k1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_fdd" ] }, { "page": "frechet_k1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "frechet_k1_ldda" ] }, { "page": "frechet_k1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "frechet_k1_lddda" ] }, { "page": "frechet_k1_logf", "title": "Logf for RUST", "topics": [ "frechet_k1_logf" ] }, { "page": "frechet_k1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_logfdd" ] }, { "page": "frechet_k1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_logfddd" ] }, { "page": "frechet_k1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "frechet_k1_mu1fa" ] }, { "page": "frechet_k1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "frechet_k1_mu2fa" ] }, { "page": "frechet_k1_p1fa", "title": "The first derivative of the cdf", "topics": [ "frechet_k1_p1fa" ] }, { "page": "frechet_k1_p2fa", "title": "The second derivative of the cdf", "topics": [ "frechet_k1_p2fa" ] }, { "page": "frechet_k1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_pd" ] }, { "page": "frechet_k1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_k1_pdd" ] }, { "page": "frechet_k1_waic", "title": "Waic", "topics": [ "frechet_k1_waic" ] }, { "page": "frechet_loglik", "title": "log-likelihood function", "topics": [ "frechet_loglik" ] }, { "page": "frechet_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "frechet_logscores" ] }, { "page": "frechet_means", "title": "MLE and RHP predictive means", "topics": [ "frechet_means" ] }, { "page": "frechet_p2k1_cp", "title": "Frechet Distribution with Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dfrechet_p2k1_cp", "frechet_p2k1_cp", "pfrechet_p2k1_cp", "qfrechet_p2k1_cp", "rfrechet_p2k1_cp", "tfrechet_p2k1_cp" ] }, { "page": "frechet_p2k1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "frechet_p2k1_f1fa" ] }, { "page": "frechet_p2k1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "frechet_p2k1_f1fw" ] }, { "page": "frechet_p2k1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "frechet_p2k1_f2fa" ] }, { "page": "frechet_p2k1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "frechet_p2k1_f2fw" ] }, { "page": "frechet_p2k1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_fd" ] }, { "page": "frechet_p2k1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_fdd" ] }, { "page": "frechet_p2k1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "frechet_p2k1_ldda" ] }, { "page": "frechet_p2k1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "frechet_p2k1_lddda" ] }, { "page": "frechet_p2k1_logf", "title": "Logf for RUST", "topics": [ "frechet_p2k1_logf" ] }, { "page": "frechet_p2k1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_logfdd" ] }, { "page": "frechet_p2k1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_logfddd" ] }, { "page": "frechet_p2k1_loglik", "title": "observed log-likelihood function", "topics": [ "frechet_p2k1_loglik" ] }, { "page": "frechet_p2k1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "frechet_p2k1_logscores" ] }, { "page": "frechet_p2k1_means", "title": "frechet_k1 distribution: RHP mean", "topics": [ "frechet_p2k1_means" ] }, { "page": "frechet_p2k1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "frechet_p2k1_mu1fa" ] }, { "page": "frechet_p2k1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "frechet_p2k1_mu2fa" ] }, { "page": "frechet_p2k1_p1fa", "title": "The first derivative of the cdf", "topics": [ "frechet_p2k1_p1fa" ] }, { "page": "frechet_p2k1_p2fa", "title": "The second derivative of the cdf", "topics": [ "frechet_p2k1_p2fa" ] }, { "page": "frechet_p2k1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_pd" ] }, { "page": "frechet_p2k1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "frechet_p2k1_pdd" ] }, { "page": "frechet_p2k1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "frechet_p2k1_predictordata" ] }, { "page": "frechet_p2k1_waic", "title": "Waic", "topics": [ "frechet_p2k1_waic" ] }, { "page": "gamma_cp", "title": "Gamma Distribution Predictions Based on a Calibrating Prior", "topics": [ "dgamma_cp", "gamma_cp", "pgamma_cp", "qgamma_cp", "rgamma_cp", "tgamma_cp" ] }, { "page": "gamma_f1f", "title": "DMGS equation 3.3, f1 term", "topics": [ "gamma_f1f" ] }, { "page": "gamma_f1fa", "title": "The first derivative of the density", "topics": [ "gamma_f1fa" ] }, { "page": "gamma_f2f", "title": "DMGS equation 3.3, f2 term", "topics": [ "gamma_f2f" ] }, { "page": "gamma_f2fa", "title": "The second derivative of the density", "topics": [ "gamma_f2fa" ] }, { "page": "gamma_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gamma_fd" ] }, { "page": "gamma_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gamma_fdd" ] }, { "page": "gamma_gg", "title": "Second derivative matrix of the expected log-likelihood", "topics": [ "gamma_gg" ] }, { "page": "gamma_gmn", "title": "One component of the second derivative of the expected log-likelihood", "topics": [ "gamma_gmn" ] }, { "page": "gamma_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "gamma_ldd" ] }, { "page": "gamma_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gamma_ldda" ] }, { "page": "gamma_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "gamma_lddd" ] }, { "page": "gamma_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gamma_lddda" ] }, { "page": "gamma_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "gamma_lmn" ] }, { "page": "gamma_lmnp", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "gamma_lmnp" ] }, { "page": "gamma_logf", "title": "Logf for RUST", "topics": [ "gamma_logf" ] }, { "page": "gamma_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gamma_logfdd" ] }, { "page": "gamma_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gamma_logfddd" ] }, { "page": "gamma_loglik", "title": "log-likelihood function", "topics": [ "gamma_loglik" ] }, { "page": "gamma_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "gamma_logscores" ] }, { "page": "gamma_means", "title": "MLE and RHP predictive means", "topics": [ "gamma_means" ] }, { "page": "gamma_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "gamma_mu1f" ] }, { "page": "gamma_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "gamma_mu2f" ] }, { "page": "gamma_p1f", "title": "DMGS equation 3.3, p1 term", "topics": [ "gamma_p1f" ] }, { "page": "gamma_p2f", "title": "DMGS equation 3.3, p2 term", "topics": [ "gamma_p2f" ] }, { "page": "gamma_waic", "title": "Waic", "topics": [ "gamma_waic" ] }, { "page": "gev_boot", "title": "Bootstrap", "topics": [ "gev_boot" ] }, { "page": "gev_checkmle", "title": "Check MLE", "topics": [ "gev_checkmle" ] }, { "page": "gev_cp", "title": "Generalized Extreme Value Distribution, Predictions Based on a Calibrating Prior", "topics": [ "dgev_cp", "gev_cp", "pgev_cp", "qgev_cp", "rgev_cp", "tgev_cp" ] }, { "page": "gev_f1fa", "title": "The first derivative of the density", "topics": [ "gev_f1fa" ] }, { "page": "gev_f2fa", "title": "The second derivative of the density", "topics": [ "gev_f2fa" ] }, { "page": "gev_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_fd" ] }, { "page": "gev_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_fdd" ] }, { "page": "gev_k12_ppm_minusloglik", "title": "Temporary dummy for one of the ppm models", "topics": [ "gev_k12_ppm_minusloglik" ] }, { "page": "gev_k3_cp", "title": "Generalized Extreme Value Distribution with Known Shape, Predictions Based on a Calibrating Prior", "topics": [ "dgev_k3_cp", "gev_k3_cp", "pgev_k3_cp", "qgev_k3_cp", "rgev_k3_cp", "tgev_k3_cp" ] }, { "page": "gev_k3_f1fa", "title": "The first derivative of the density", "topics": [ "gev_k3_f1fa" ] }, { "page": "gev_k3_f2fa", "title": "The second derivative of the density", "topics": [ "gev_k3_f2fa" ] }, { "page": "gev_k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_fd" ] }, { "page": "gev_k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_fdd" ] }, { "page": "gev_k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_k3_ldda" ] }, { "page": "gev_k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_k3_lddda" ] }, { "page": "gev_k3_logf", "title": "Logf for RUST", "topics": [ "gev_k3_logf" ] }, { "page": "gev_k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_logfdd" ] }, { "page": "gev_k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_logfddd" ] }, { "page": "gev_k3_loglik", "title": "log-likelihood function", "topics": [ "gev_k3_loglik" ] }, { "page": "gev_k3_means", "title": "MLE and RHP means", "topics": [ "gev_k3_means" ] }, { "page": "gev_k3_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_k3_mu1fa" ] }, { "page": "gev_k3_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_k3_mu2fa" ] }, { "page": "gev_k3_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_pd" ] }, { "page": "gev_k3_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_k3_pdd" ] }, { "page": "gev_k3_waic", "title": "Waic", "topics": [ "gev_k3_waic" ] }, { "page": "gev_ld12a", "title": "The combined derivative of the normalized log-likelihood", "topics": [ "gev_ld12a" ] }, { "page": "gev_lda", "title": "The first derivative of the normalized log-likelihood", "topics": [ "gev_lda" ] }, { "page": "gev_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_ldda" ] }, { "page": "gev_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_lddda" ] }, { "page": "gev_logf", "title": "Logf for RUST", "topics": [ "gev_logf" ] }, { "page": "gev_logfd", "title": "First derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_logfd" ] }, { "page": "gev_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_logfdd" ] }, { "page": "gev_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_logfddd" ] }, { "page": "gev_loglik", "title": "log-likelihood function", "topics": [ "gev_loglik" ] }, { "page": "gev_means", "title": "Analytical Expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_means" ] }, { "page": "gev_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_mu1fa" ] }, { "page": "gev_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_mu2fa" ] }, { "page": "gev_p1_checkmle", "title": "Check MLE", "topics": [ "gev_p1_checkmle" ] }, { "page": "gev_p1_cp", "title": "Generalized Extreme Value Distribution with a Single Predictor on the Location, Predictions Based on a Calibrating Prior", "topics": [ "dgev_p1_cp", "gev_p1_cp", "pgev_p1_cp", "qgev_p1_cp", "rgev_p1_cp", "tgev_p1_cp" ] }, { "page": "gev_p1_logf", "title": "Logf for RUST", "topics": [ "gev_p1_logf" ] }, { "page": "gev_p1_loglik", "title": "observed log-likelihood function", "topics": [ "gev_p1_loglik" ] }, { "page": "gev_p1_means", "title": "Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_p1_means" ] }, { "page": "gev_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gev_p1_predictordata" ] }, { "page": "gev_p1_setics", "title": "Set initial conditions", "topics": [ "gev_p1_setics" ] }, { "page": "gev_p1_waic", "title": "Waic", "topics": [ "gev_p1_waic" ] }, { "page": "gev_p12_checkmle", "title": "Check MLE", "topics": [ "gev_p12_checkmle" ] }, { "page": "gev_p12_cp", "title": "Generalized Extreme Value Distribution with Two Predictors, Predictions based on a Calibrating Prior", "topics": [ "dgev_p12_cp", "gev_p12_cp", "pgev_p12_cp", "qgev_p12_cp", "rgev_p12_cp", "tgev_p12_cp" ] }, { "page": "gev_p12_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p12_f1fa" ] }, { "page": "gev_p12_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p12_f1fw" ] }, { "page": "gev_p12_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p12_f2fa" ] }, { "page": "gev_p12_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p12_f2fw" ] }, { "page": "gev_p12_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_fd" ] }, { "page": "gev_p12_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_fdd" ] }, { "page": "gev_p12_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p12_ldda" ] }, { "page": "gev_p12_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p12_lddda" ] }, { "page": "gev_p12_logf", "title": "Logf for RUST", "topics": [ "gev_p12_logf" ] }, { "page": "gev_p12_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_logfdd" ] }, { "page": "gev_p12_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_logfddd" ] }, { "page": "gev_p12_loglik", "title": "observed log-likelihood function", "topics": [ "gev_p12_loglik" ] }, { "page": "gev_p12_means", "title": "Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_p12_means" ] }, { "page": "gev_p12_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p12_mu1fa" ] }, { "page": "gev_p12_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p12_mu2fa" ] }, { "page": "gev_p12_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_pd" ] }, { "page": "gev_p12_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12_pdd" ] }, { "page": "gev_p12_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gev_p12_predictordata" ] }, { "page": "gev_p12_setics", "title": "Set initial conditions", "topics": [ "gev_p12_setics" ] }, { "page": "gev_p12_waic", "title": "Waic", "topics": [ "gev_p12_waic" ] }, { "page": "gev_p123_checkmle", "title": "Check MLE", "topics": [ "gev_p123_checkmle" ] }, { "page": "gev_p123_cp", "title": "Generalized Extreme Value Distribution with Three Predictors, Predictions based on a Calibrating Prior", "topics": [ "dgev_p123_cp", "gev_p123_cp", "pgev_p123_cp", "qgev_p123_cp", "rgev_p123_cp", "tgev_p123_cp" ] }, { "page": "gev_p123_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p123_f1fa" ] }, { "page": "gev_p123_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p123_f1fw" ] }, { "page": "gev_p123_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p123_f2fa" ] }, { "page": "gev_p123_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p123_f2fw" ] }, { "page": "gev_p123_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_fd" ] }, { "page": "gev_p123_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_fdd" ] }, { "page": "gev_p123_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p123_ldda" ] }, { "page": "gev_p123_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p123_lddda" ] }, { "page": "gev_p123_logf", "title": "Logf for RUST", "topics": [ "gev_p123_logf" ] }, { "page": "gev_p123_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_logfdd" ] }, { "page": "gev_p123_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_logfddd" ] }, { "page": "gev_p123_loglik", "title": "observed log-likelihood function", "topics": [ "gev_p123_loglik" ] }, { "page": "gev_p123_means", "title": "Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_p123_means" ] }, { "page": "gev_p123_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p123_mu1fa" ] }, { "page": "gev_p123_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p123_mu2fa" ] }, { "page": "gev_p123_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_pd" ] }, { "page": "gev_p123_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p123_pdd" ] }, { "page": "gev_p123_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gev_p123_predictordata" ] }, { "page": "gev_p123_setics", "title": "Set initial conditions", "topics": [ "gev_p123_setics" ] }, { "page": "gev_p123_waic", "title": "Waic", "topics": [ "gev_p123_waic" ] }, { "page": "gev_p12k3_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p12k3_f1fa" ] }, { "page": "gev_p12k3_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p12k3_f1fw" ] }, { "page": "gev_p12k3_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p12k3_f2fa" ] }, { "page": "gev_p12k3_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p12k3_f2fw" ] }, { "page": "gev_p12k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_fd" ] }, { "page": "gev_p12k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_fdd" ] }, { "page": "gev_p12k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p12k3_ldda" ] }, { "page": "gev_p12k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p12k3_lddda" ] }, { "page": "gev_p12k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_logfdd" ] }, { "page": "gev_p12k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_logfddd" ] }, { "page": "gev_p12k3_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p12k3_mu1fa" ] }, { "page": "gev_p12k3_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p12k3_mu2fa" ] }, { "page": "gev_p12k3_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_pd" ] }, { "page": "gev_p12k3_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p12k3_pdd" ] }, { "page": "gev_p1a_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p1a_f1fa" ] }, { "page": "gev_p1a_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p1a_f1fw" ] }, { "page": "gev_p1a_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p1a_f2fa" ] }, { "page": "gev_p1a_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p1a_f2fw" ] }, { "page": "gev_p1a_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_fd" ] }, { "page": "gev_p1a_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_fdd" ] }, { "page": "gev_p1a_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p1a_ldda" ] }, { "page": "gev_p1a_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p1a_lddda" ] }, { "page": "gev_p1a_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_logfdd" ] }, { "page": "gev_p1a_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_logfddd" ] }, { "page": "gev_p1a_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p1a_mu1fa" ] }, { "page": "gev_p1a_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p1a_mu2fa" ] }, { "page": "gev_p1a_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_pd" ] }, { "page": "gev_p1a_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1a_pdd" ] }, { "page": "gev_p1b_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p1b_f1fa" ] }, { "page": "gev_p1b_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p1b_f1fw" ] }, { "page": "gev_p1b_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p1b_f2fa" ] }, { "page": "gev_p1b_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p1b_f2fw" ] }, { "page": "gev_p1b_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_fd" ] }, { "page": "gev_p1b_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_fdd" ] }, { "page": "gev_p1b_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p1b_ldda" ] }, { "page": "gev_p1b_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p1b_lddda" ] }, { "page": "gev_p1b_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_logfdd" ] }, { "page": "gev_p1b_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_logfddd" ] }, { "page": "gev_p1b_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p1b_mu1fa" ] }, { "page": "gev_p1b_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p1b_mu2fa" ] }, { "page": "gev_p1b_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_pd" ] }, { "page": "gev_p1b_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1b_pdd" ] }, { "page": "gev_p1c_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p1c_f1fa" ] }, { "page": "gev_p1c_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p1c_f1fw" ] }, { "page": "gev_p1c_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p1c_f2fa" ] }, { "page": "gev_p1c_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p1c_f2fw" ] }, { "page": "gev_p1c_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_fd" ] }, { "page": "gev_p1c_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_fdd" ] }, { "page": "gev_p1c_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p1c_ldda" ] }, { "page": "gev_p1c_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p1c_lddda" ] }, { "page": "gev_p1c_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_logfdd" ] }, { "page": "gev_p1c_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_logfddd" ] }, { "page": "gev_p1c_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p1c_mu1fa" ] }, { "page": "gev_p1c_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p1c_mu2fa" ] }, { "page": "gev_p1c_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_pd" ] }, { "page": "gev_p1c_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1c_pdd" ] }, { "page": "gev_p1k3_cp", "title": "GEV Distribution with Known Shape with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dgev_p1k3_cp", "gev_p1k3_cp", "pgev_p1k3_cp", "qgev_p1k3_cp", "rgev_p1k3_cp", "tgev_p1k3_cp" ] }, { "page": "gev_p1k3_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gev_p1k3_f1fa" ] }, { "page": "gev_p1k3_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gev_p1k3_f1fw" ] }, { "page": "gev_p1k3_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gev_p1k3_f2fa" ] }, { "page": "gev_p1k3_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gev_p1k3_f2fw" ] }, { "page": "gev_p1k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_fd" ] }, { "page": "gev_p1k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_fdd" ] }, { "page": "gev_p1k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gev_p1k3_ldda" ] }, { "page": "gev_p1k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gev_p1k3_lddda" ] }, { "page": "gev_p1k3_logf", "title": "Logf for RUST", "topics": [ "gev_p1k3_logf" ] }, { "page": "gev_p1k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_logfdd" ] }, { "page": "gev_p1k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_logfddd" ] }, { "page": "gev_p1k3_loglik", "title": "GEV-with-known-shape-with-p1 observed log-likelihood function", "topics": [ "gev_p1k3_loglik" ] }, { "page": "gev_p1k3_means", "title": "Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_p1k3_means" ] }, { "page": "gev_p1k3_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gev_p1k3_mu1fa" ] }, { "page": "gev_p1k3_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gev_p1k3_mu2fa" ] }, { "page": "gev_p1k3_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_pd" ] }, { "page": "gev_p1k3_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_p1k3_pdd" ] }, { "page": "gev_p1k3_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gev_p1k3_predictordata" ] }, { "page": "gev_p1k3_waic", "title": "Waic", "topics": [ "gev_p1k3_waic" ] }, { "page": "gev_p1n_checkmle", "title": "Check MLE", "topics": [ "gev_p1n_checkmle" ] }, { "page": "gev_p1n_cp", "title": "Generalized Extreme Value Distribution with Multiple Predictors on the Location, Predictions Based on a Calibrating Prior", "topics": [ "dgev_p1n_cp", "gev_p1n_cp", "pgev_p1n_cp", "qgev_p1n_cp", "rgev_p1n_cp", "tgev_p1n_cp" ] }, { "page": "gev_p1n_logf", "title": "Logf for RUST", "topics": [ "gev_p1n_logf" ] }, { "page": "gev_p1n_loglik", "title": "observed log-likelihood function", "topics": [ "gev_p1n_loglik" ] }, { "page": "gev_p1n_means", "title": "Analytical expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gev_p1n_means" ] }, { "page": "gev_p1n_n1_exampledata", "title": "GEV_p1n n=1 example data", "topics": [ "gev_p1n_n1_exampledata" ] }, { "page": "gev_p1n_n2_exampledata", "title": "GEV_p1n n=2 example data", "topics": [ "gev_p1n_n2_exampledata" ] }, { "page": "gev_p1n_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gev_p1n_predictordata" ] }, { "page": "gev_p1n_setics", "title": "Set initial conditions", "topics": [ "gev_p1n_setics" ] }, { "page": "gev_p1n_waic", "title": "Waic", "topics": [ "gev_p1n_waic" ] }, { "page": "gev_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_pd" ] }, { "page": "gev_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gev_pdd" ] }, { "page": "gev_pwm_params", "title": "PWM parameter estimation", "topics": [ "gev_pwm_params" ] }, { "page": "gev_setics", "title": "Set initial conditions", "topics": [ "gev_setics" ] }, { "page": "gev_waic", "title": "Waic", "topics": [ "gev_waic" ] }, { "page": "gnorm_k3_cp", "title": "Generalized Normal Distribution Predictions Based on a Calibrating Prior", "topics": [ "dgnorm_k3_cp", "gnorm_k3_cp", "pgnorm_k3_cp", "qgnorm_k3_cp", "rgnorm_k3_cp", "tgnorm_k3_cp" ] }, { "page": "gnorm_k3_f1f", "title": "DMGS equation 3.3, f1 term", "topics": [ "gnorm_k3_f1f" ] }, { "page": "gnorm_k3_f1fa", "title": "The first derivative of the density", "topics": [ "gnorm_k3_f1fa" ] }, { "page": "gnorm_k3_f2f", "title": "DMGS equation 3.3, f2 term", "topics": [ "gnorm_k3_f2f" ] }, { "page": "gnorm_k3_f2fa", "title": "The second derivative of the density", "topics": [ "gnorm_k3_f2fa" ] }, { "page": "gnorm_k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gnorm_k3_fd" ] }, { "page": "gnorm_k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gnorm_k3_fdd" ] }, { "page": "gnorm_k3_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "gnorm_k3_ldd" ] }, { "page": "gnorm_k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gnorm_k3_ldda" ] }, { "page": "gnorm_k3_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "gnorm_k3_lddd" ] }, { "page": "gnorm_k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gnorm_k3_lddda" ] }, { "page": "gnorm_k3_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "gnorm_k3_lmn" ] }, { "page": "gnorm_k3_logf", "title": "Logf for RUST", "topics": [ "gnorm_k3_logf" ] }, { "page": "gnorm_k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gnorm_k3_logfdd" ] }, { "page": "gnorm_k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gnorm_k3_logfddd" ] }, { "page": "gnorm_k3_loglik", "title": "log-likelihood function", "topics": [ "gnorm_k3_loglik" ] }, { "page": "gnorm_k3_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "gnorm_k3_logscores" ] }, { "page": "gnorm_k3_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "gnorm_k3_mu1f" ] }, { "page": "gnorm_k3_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "gnorm_k3_mu2f" ] }, { "page": "gnorm_k3_p1f", "title": "DMGS equation 3.3, p1 term", "topics": [ "gnorm_k3_p1f" ] }, { "page": "gnorm_k3_p2f", "title": "DMGS equation 3.3, p2 term", "topics": [ "gnorm_k3_p2f" ] }, { "page": "gnorm_lmnp", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "gnorm_lmnp" ] }, { "page": "gnorm_waic", "title": "Waic for RUST", "topics": [ "gnorm_waic" ] }, { "page": "gpd_k1_checkmle", "title": "Check MLE", "topics": [ "gpd_k1_checkmle" ] }, { "page": "gpd_k1_cp", "title": "Generalized Pareto Distribution with Known Location Parameter, Predictions Based on a Calibrating Prior", "topics": [ "dgpd_k1_cp", "gpd_k1_cp", "pgpd_k1_cp", "qgpd_k1_cp", "rgpd_k1_cp", "tgpd_k1_cp" ] }, { "page": "gpd_k1_f1fa", "title": "The first derivative of the density", "topics": [ "gpd_k1_f1fa" ] }, { "page": "gpd_k1_f2fa", "title": "The second derivative of the density", "topics": [ "gpd_k1_f2fa" ] }, { "page": "gpd_k1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_fd" ] }, { "page": "gpd_k1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_fdd" ] }, { "page": "gpd_k1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gpd_k1_ldda" ] }, { "page": "gpd_k1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gpd_k1_lddda" ] }, { "page": "gpd_k1_logf", "title": "Logf for RUST", "topics": [ "gpd_k1_logf" ] }, { "page": "gpd_k1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_logfdd" ] }, { "page": "gpd_k1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_logfddd" ] }, { "page": "gpd_k1_loglik", "title": "log-likelihood function", "topics": [ "gpd_k1_loglik" ] }, { "page": "gpd_k1_means", "title": "Analytical Expressions for Predictive Means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "gpd_k1_means" ] }, { "page": "gpd_k1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gpd_k1_mu1fa" ] }, { "page": "gpd_k1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gpd_k1_mu2fa" ] }, { "page": "gpd_k1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_pd" ] }, { "page": "gpd_k1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k1_pdd" ] }, { "page": "gpd_k1_setics", "title": "Set initial conditions", "topics": [ "gpd_k1_setics" ] }, { "page": "gpd_k1_waic", "title": "Waic", "topics": [ "gpd_k1_waic" ] }, { "page": "gpd_k13_f1fa", "title": "The first derivative of the density", "topics": [ "gpd_k13_f1fa" ] }, { "page": "gpd_k13_f2fa", "title": "The second derivative of the density", "topics": [ "gpd_k13_f2fa" ] }, { "page": "gpd_k13_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_fd" ] }, { "page": "gpd_k13_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_fdd" ] }, { "page": "gpd_k13_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gpd_k13_ldda" ] }, { "page": "gpd_k13_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gpd_k13_lddda" ] }, { "page": "gpd_k13_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_logfdd" ] }, { "page": "gpd_k13_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_logfddd" ] }, { "page": "gpd_k13_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gpd_k13_mu1fa" ] }, { "page": "gpd_k13_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gpd_k13_mu2fa" ] }, { "page": "gpd_k13_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_pd" ] }, { "page": "gpd_k13_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gpd_k13_pdd" ] }, { "page": "gumbel_cp", "title": "Gumbel Distribution Predictions Based on a Calibrating Prior", "topics": [ "dgumbel_cp", "gumbel_cp", "pgumbel_cp", "qgumbel_cp", "rgumbel_cp", "tgumbel_cp" ] }, { "page": "gumbel_f1fa", "title": "The first derivative of the density", "topics": [ "gumbel_f1fa" ] }, { "page": "gumbel_f2fa", "title": "The second derivative of the density", "topics": [ "gumbel_f2fa" ] }, { "page": "gumbel_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_fd" ] }, { "page": "gumbel_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_fdd" ] }, { "page": "gumbel_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gumbel_ldda" ] }, { "page": "gumbel_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gumbel_lddda" ] }, { "page": "gumbel_logf", "title": "Logf for RUST", "topics": [ "gumbel_logf" ] }, { "page": "gumbel_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_logfdd" ] }, { "page": "gumbel_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_logfddd" ] }, { "page": "gumbel_loglik", "title": "log-likelihood function", "topics": [ "gumbel_loglik" ] }, { "page": "gumbel_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "gumbel_logscores" ] }, { "page": "gumbel_means", "title": "MLE and RHP predictive means", "topics": [ "gumbel_means" ] }, { "page": "gumbel_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gumbel_mu1fa" ] }, { "page": "gumbel_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gumbel_mu2fa" ] }, { "page": "gumbel_p1_cp", "title": "Gumbel Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dgumbel_p1_cp", "gumbel_p1_cp", "pgumbel_p1_cp", "qgumbel_p1_cp", "rgumbel_p1_cp", "tgumbel_p1_cp" ] }, { "page": "gumbel_p1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "gumbel_p1_f1fa" ] }, { "page": "gumbel_p1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "gumbel_p1_f1fw" ] }, { "page": "gumbel_p1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "gumbel_p1_f2fa" ] }, { "page": "gumbel_p1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "gumbel_p1_f2fw" ] }, { "page": "gumbel_p1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_fd" ] }, { "page": "gumbel_p1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_fdd" ] }, { "page": "gumbel_p1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "gumbel_p1_ldda" ] }, { "page": "gumbel_p1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "gumbel_p1_lddda" ] }, { "page": "gumbel_p1_logf", "title": "Logf for RUST", "topics": [ "gumbel_p1_logf" ] }, { "page": "gumbel_p1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_logfdd" ] }, { "page": "gumbel_p1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_logfddd" ] }, { "page": "gumbel_p1_loglik", "title": "observed log-likelihood function", "topics": [ "gumbel_p1_loglik" ] }, { "page": "gumbel_p1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "gumbel_p1_logscores" ] }, { "page": "gumbel_p1_means", "title": "Gumbel distribution: RHP mean", "topics": [ "gumbel_p1_means" ] }, { "page": "gumbel_p1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "gumbel_p1_mu1fa" ] }, { "page": "gumbel_p1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "gumbel_p1_mu2fa" ] }, { "page": "gumbel_p1_p1fa", "title": "The first derivative of the cdf", "topics": [ "gumbel_p1_p1fa" ] }, { "page": "gumbel_p1_p2fa", "title": "The second derivative of the cdf", "topics": [ "gumbel_p1_p2fa" ] }, { "page": "gumbel_p1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_pd" ] }, { "page": "gumbel_p1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_p1_pdd" ] }, { "page": "gumbel_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "gumbel_p1_predictordata" ] }, { "page": "gumbel_p1_waic", "title": "Waic", "topics": [ "gumbel_p1_waic" ] }, { "page": "gumbel_p1fa", "title": "The first derivative of the cdf", "topics": [ "gumbel_p1fa" ] }, { "page": "gumbel_p2fa", "title": "The second derivative of the cdf", "topics": [ "gumbel_p2fa" ] }, { "page": "gumbel_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_pd" ] }, { "page": "gumbel_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "gumbel_pdd" ] }, { "page": "gumbel_waic", "title": "Waic", "topics": [ "gumbel_waic" ] }, { "page": "halfnorm_cp", "title": "Half-Normal Distribution Predictions Based on a Calibrating Prior", "topics": [ "dhalfnorm_cp", "halfnorm_cp", "phalfnorm_cp", "qhalfnorm_cp", "rhalfnorm_cp", "thalfnorm_cp" ] }, { "page": "halfnorm_f1f", "title": "DMGS equation 2.1, f1 term", "topics": [ "halfnorm_f1f" ] }, { "page": "halfnorm_f1fa", "title": "The first derivative of the density", "topics": [ "halfnorm_f1fa" ] }, { "page": "halfnorm_f2f", "title": "DMGS equation 2.1, f2 term", "topics": [ "halfnorm_f2f" ] }, { "page": "halfnorm_f2fa", "title": "The second derivative of the density", "topics": [ "halfnorm_f2fa" ] }, { "page": "halfnorm_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "halfnorm_fd" ] }, { "page": "halfnorm_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "halfnorm_fdd" ] }, { "page": "halfnorm_gg", "title": "Expected information matrix", "topics": [ "halfnorm_gg" ] }, { "page": "halfnorm_gg11", "title": "Second derivative of the expected log-likelihood", "topics": [ "halfnorm_gg11" ] }, { "page": "halfnorm_l111", "title": "Third derivative of the normalized log-likelihood", "topics": [ "halfnorm_l111" ] }, { "page": "halfnorm_ldd", "title": "The second derivative of the normalized log-likelihood", "topics": [ "halfnorm_ldd" ] }, { "page": "halfnorm_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "halfnorm_ldda" ] }, { "page": "halfnorm_lddd", "title": "Third derivative tensor of the log-likelihood", "topics": [ "halfnorm_lddd" ] }, { "page": "halfnorm_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "halfnorm_lddda" ] }, { "page": "halfnorm_logf", "title": "Logf for RUST", "topics": [ "halfnorm_logf" ] }, { "page": "halfnorm_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "halfnorm_logfdd" ] }, { "page": "halfnorm_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "halfnorm_logfddd" ] }, { "page": "halfnorm_loglik", "title": "Log-likelihood function", "topics": [ "halfnorm_loglik" ] }, { "page": "halfnorm_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "halfnorm_logscores" ] }, { "page": "halfnorm_means", "title": "MLE and RHP predictive means RHP mean based on the expectation of DMGS equation 2.1", "topics": [ "halfnorm_means" ] }, { "page": "halfnorm_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "halfnorm_mu1f" ] }, { "page": "halfnorm_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "halfnorm_mu2f" ] }, { "page": "halfnorm_p1f", "title": "DMGS equation 2.1, p1 term", "topics": [ "halfnorm_p1f" ] }, { "page": "halfnorm_p2f", "title": "DMGS equation 2.1, p2 term", "topics": [ "halfnorm_p2f" ] }, { "page": "halfnorm_waic", "title": "Waic", "topics": [ "halfnorm_waic" ] }, { "page": "ifvectorthenmatrix", "title": "If a variable is a vector, convert it to a matrix", "topics": [ "ifvectorthenmatrix" ] }, { "page": "invgamma_cp", "title": "Inverse Gamma Distribution, Predictions Based on a Calibrating Prior", "topics": [ "dinvgamma_cp", "invgamma_cp", "pinvgamma_cp", "qinvgamma_cp", "rinvgamma_cp", "tinvgamma_cp" ] }, { "page": "invgamma_f1f", "title": "DMGS equation 3.3, f1 term", "topics": [ "invgamma_f1f" ] }, { "page": "invgamma_f1fa", "title": "The first derivative of the density", "topics": [ "invgamma_f1fa" ] }, { "page": "invgamma_f2f", "title": "DMGS equation 3.3, f2 term", "topics": [ "invgamma_f2f" ] }, { "page": "invgamma_f2fa", "title": "The second derivative of the density", "topics": [ "invgamma_f2fa" ] }, { "page": "invgamma_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgamma_fd" ] }, { "page": "invgamma_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgamma_fdd" ] }, { "page": "invgamma_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "invgamma_ldd" ] }, { "page": "invgamma_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "invgamma_ldda" ] }, { "page": "invgamma_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "invgamma_lddd" ] }, { "page": "invgamma_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "invgamma_lddda" ] }, { "page": "invgamma_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "invgamma_lmn" ] }, { "page": "invgamma_lmnp", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "invgamma_lmnp" ] }, { "page": "invgamma_logf", "title": "Logf for RUST", "topics": [ "invgamma_logf" ] }, { "page": "invgamma_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgamma_logfdd" ] }, { "page": "invgamma_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgamma_logfddd" ] }, { "page": "invgamma_loglik", "title": "log-likelihood function", "topics": [ "invgamma_loglik" ] }, { "page": "invgamma_logscores", "title": "Log scores for MLE and cp predictions calculated using leave-one-out", "topics": [ "invgamma_logscores" ] }, { "page": "invgamma_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "invgamma_mu1f" ] }, { "page": "invgamma_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "invgamma_mu2f" ] }, { "page": "invgamma_p1f", "title": "DMGS equation 3.3, p1 term", "topics": [ "invgamma_p1f" ] }, { "page": "invgamma_p2f", "title": "DMGS equation 3.3, p2 term", "topics": [ "invgamma_p2f" ] }, { "page": "invgamma_waic", "title": "Waic", "topics": [ "invgamma_waic" ] }, { "page": "invgauss_cp", "title": "Inverse Gauss Distribution, Predictions Based on a Calibrating Prior", "topics": [ "dinvgauss_cp", "invgauss_cp", "pinvgauss_cp", "qinvgauss_cp", "rinvgauss_cp", "tinvgauss_cp" ] }, { "page": "invgauss_f1f", "title": "DMGS equation 3.3, f1 term", "topics": [ "invgauss_f1f" ] }, { "page": "invgauss_f1fa", "title": "The first derivative of the density", "topics": [ "invgauss_f1fa" ] }, { "page": "invgauss_f2f", "title": "DMGS equation 3.3, f2 term", "topics": [ "invgauss_f2f" ] }, { "page": "invgauss_f2fa", "title": "The second derivative of the density", "topics": [ "invgauss_f2fa" ] }, { "page": "invgauss_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgauss_fd" ] }, { "page": "invgauss_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgauss_fdd" ] }, { "page": "invgauss_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "invgauss_ldd" ] }, { "page": "invgauss_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "invgauss_ldda" ] }, { "page": "invgauss_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "invgauss_lddd" ] }, { "page": "invgauss_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "invgauss_lddda" ] }, { "page": "invgauss_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "invgauss_lmn" ] }, { "page": "invgauss_lmnp", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "invgauss_lmnp" ] }, { "page": "invgauss_logf", "title": "Logf for RUST", "topics": [ "invgauss_logf" ] }, { "page": "invgauss_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgauss_logfdd" ] }, { "page": "invgauss_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "invgauss_logfddd" ] }, { "page": "invgauss_loglik", "title": "log-likelihood function", "topics": [ "invgauss_loglik" ] }, { "page": "invgauss_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "invgauss_logscores" ] }, { "page": "invgauss_means", "title": "MLE and RHP predictive means", "topics": [ "invgauss_means" ] }, { "page": "invgauss_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "invgauss_mu1f" ] }, { "page": "invgauss_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "invgauss_mu2f" ] }, { "page": "invgauss_p1f", "title": "DMGS equation 3.3, p1 term", "topics": [ "invgauss_p1f" ] }, { "page": "invgauss_p2f", "title": "DMGS equation 3.3, p2 term", "topics": [ "invgauss_p2f" ] }, { "page": "invgauss_waic", "title": "Waic", "topics": [ "invgauss_waic" ] }, { "page": "jpf2p", "title": "Jeffreys' Prior with two parameters", "topics": [ "jpf2p" ] }, { "page": "jpf3p", "title": "Jeffreys' Prior with three parameters", "topics": [ "jpf3p" ] }, { "page": "jpf4p", "title": "Jeffreys' Prior with four parameters", "topics": [ "jpf4p" ] }, { "page": "lnorm_cp", "title": "Log-normal Distribution Predictions Based on a Calibrating Prior", "topics": [ "dlnorm_cp", "lnorm_cp", "plnorm_cp", "qlnorm_cp", "rlnorm_cp", "tlnorm_cp" ] }, { "page": "lnorm_dmgs_cp", "title": "Log-normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)", "topics": [ "dlnorm_dmgs_cp", "lnorm_dmgs_cp", "plnorm_dmgs_cp", "qlnorm_dmgs_cp", "rlnorm_dmgs_cp" ] }, { "page": "lnorm_dmgs_loglik", "title": "log-likelihood function", "topics": [ "lnorm_dmgs_loglik" ] }, { "page": "lnorm_dmgs_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "lnorm_dmgs_logscores" ] }, { "page": "lnorm_dmgs_means", "title": "MLE and RHP predictive means", "topics": [ "lnorm_dmgs_means" ] }, { "page": "lnorm_dmgs_waic", "title": "Waic", "topics": [ "lnorm_dmgs_waic" ] }, { "page": "lnorm_f1fa", "title": "The first derivative of the density", "topics": [ "lnorm_f1fa" ] }, { "page": "lnorm_f2fa", "title": "The second derivative of the density", "topics": [ "lnorm_f2fa" ] }, { "page": "lnorm_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_fd" ] }, { "page": "lnorm_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_fdd" ] }, { "page": "lnorm_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "lnorm_ldda" ] }, { "page": "lnorm_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "lnorm_lddda" ] }, { "page": "lnorm_logf", "title": "Logf for RUST", "topics": [ "lnorm_logf" ] }, { "page": "lnorm_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_logfdd" ] }, { "page": "lnorm_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_logfddd" ] }, { "page": "lnorm_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "lnorm_logscores" ] }, { "page": "lnorm_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "lnorm_mu1fa" ] }, { "page": "lnorm_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "lnorm_mu2fa" ] }, { "page": "lnorm_p1_cp", "title": "Log-normal Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dlnorm_p1_cp", "lnorm_p1_cp", "plnorm_p1_cp", "qlnorm_p1_cp", "rlnorm_p1_cp", "tlnorm_p1_cp" ] }, { "page": "lnorm_p1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "lnorm_p1_f1fa" ] }, { "page": "lnorm_p1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "lnorm_p1_f1fw" ] }, { "page": "lnorm_p1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "lnorm_p1_f2fa" ] }, { "page": "lnorm_p1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "lnorm_p1_f2fw" ] }, { "page": "lnorm_p1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_fd" ] }, { "page": "lnorm_p1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_fdd" ] }, { "page": "lnorm_p1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "lnorm_p1_ldda" ] }, { "page": "lnorm_p1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "lnorm_p1_lddda" ] }, { "page": "lnorm_p1_logf", "title": "Logf for RUST", "topics": [ "lnorm_p1_logf" ] }, { "page": "lnorm_p1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_logfdd" ] }, { "page": "lnorm_p1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_logfddd" ] }, { "page": "lnorm_p1_loglik", "title": "Log-normal-with-p1 observed log-likelihood function", "topics": [ "lnorm_p1_loglik" ] }, { "page": "lnorm_p1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "lnorm_p1_logscores" ] }, { "page": "lnorm_p1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "lnorm_p1_mu1fa" ] }, { "page": "lnorm_p1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "lnorm_p1_mu2fa" ] }, { "page": "lnorm_p1_p1fa", "title": "The first derivative of the cdf", "topics": [ "lnorm_p1_p1fa" ] }, { "page": "lnorm_p1_p2fa", "title": "The second derivative of the cdf", "topics": [ "lnorm_p1_p2fa" ] }, { "page": "lnorm_p1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_pd" ] }, { "page": "lnorm_p1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_p1_pdd" ] }, { "page": "lnorm_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "lnorm_p1_predictordata" ] }, { "page": "lnorm_p1_waic", "title": "Waic", "topics": [ "lnorm_p1_waic" ] }, { "page": "lnorm_p1fa", "title": "The first derivative of the cdf", "topics": [ "lnorm_p1fa" ] }, { "page": "lnorm_p2fa", "title": "The second derivative of the cdf", "topics": [ "lnorm_p2fa" ] }, { "page": "lnorm_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_pd" ] }, { "page": "lnorm_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lnorm_pdd" ] }, { "page": "lnorm_waic", "title": "Waic for RUST", "topics": [ "lnorm_waic" ] }, { "page": "logis_cp", "title": "Logistic Distribution Predictions Based on a Calibrating Prior", "topics": [ "dlogis_cp", "logis_cp", "plogis_cp", "qlogis_cp", "rlogis_cp", "tlogis_cp" ] }, { "page": "logis_f1fa", "title": "The first derivative of the density", "topics": [ "logis_f1fa" ] }, { "page": "logis_f2fa", "title": "The second derivative of the density", "topics": [ "logis_f2fa" ] }, { "page": "logis_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_fd" ] }, { "page": "logis_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_fdd" ] }, { "page": "logis_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "logis_ldda" ] }, { "page": "logis_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "logis_lddda" ] }, { "page": "logis_logf", "title": "Logf for RUST", "topics": [ "logis_logf" ] }, { "page": "logis_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_logfdd" ] }, { "page": "logis_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_logfddd" ] }, { "page": "logis_loglik", "title": "log-likelihood function", "topics": [ "logis_loglik" ] }, { "page": "logis_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "logis_logscores" ] }, { "page": "logis_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "logis_mu1fa" ] }, { "page": "logis_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "logis_mu2fa" ] }, { "page": "logis_p1_cp", "title": "Logistic Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dlogis_p1_cp", "logis_p1_cp", "plogis_p1_cp", "qlogis_p1_cp", "rlogis_p1_cp", "tlogis_p1_cp" ] }, { "page": "logis_p1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "logis_p1_f1fa" ] }, { "page": "logis_p1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "logis_p1_f1fw" ] }, { "page": "logis_p1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "logis_p1_f2fa" ] }, { "page": "logis_p1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "logis_p1_f2fw" ] }, { "page": "logis_p1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_fd" ] }, { "page": "logis_p1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_fdd" ] }, { "page": "logis_p1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "logis_p1_ldda" ] }, { "page": "logis_p1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "logis_p1_lddda" ] }, { "page": "logis_p1_logf", "title": "Logf for RUST", "topics": [ "logis_p1_logf" ] }, { "page": "logis_p1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_logfdd" ] }, { "page": "logis_p1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_logfddd" ] }, { "page": "logis_p1_loglik", "title": "Logistic-with-p1 observed log-likelihood function", "topics": [ "logis_p1_loglik" ] }, { "page": "logis_p1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "logis_p1_logscores" ] }, { "page": "logis_p1_means", "title": "Logistic distribution: RHP mean", "topics": [ "logis_p1_means" ] }, { "page": "logis_p1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "logis_p1_mu1fa" ] }, { "page": "logis_p1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "logis_p1_mu2fa" ] }, { "page": "logis_p1_p1fa", "title": "The first derivative of the cdf", "topics": [ "logis_p1_p1fa" ] }, { "page": "logis_p1_p2fa", "title": "The second derivative of the cdf", "topics": [ "logis_p1_p2fa" ] }, { "page": "logis_p1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_pd" ] }, { "page": "logis_p1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_p1_pdd" ] }, { "page": "logis_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "logis_p1_predictordata" ] }, { "page": "logis_p1_waic", "title": "Waic", "topics": [ "logis_p1_waic" ] }, { "page": "logis_p1fa", "title": "The first derivative of the cdf", "topics": [ "logis_p1fa" ] }, { "page": "logis_p2fa", "title": "The second derivative of the cdf", "topics": [ "logis_p2fa" ] }, { "page": "logis_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_pd" ] }, { "page": "logis_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "logis_pdd" ] }, { "page": "logis_waic", "title": "Waic", "topics": [ "logis_waic" ] }, { "page": "lst_k3_cp", "title": "t Distribution Predictions Based on a Calibrating Prior", "topics": [ "dlst_k3_cp", "lst_k3_cp", "plst_k3_cp", "qlst_k3_cp", "rlst_k3_cp", "tlst_k3_cp" ] }, { "page": "lst_k3_f1f", "title": "DMGS equation 3.3, f1 term", "topics": [ "lst_k3_f1f" ] }, { "page": "lst_k3_f1fa", "title": "The first derivative of the density", "topics": [ "lst_k3_f1fa" ] }, { "page": "lst_k3_f2f", "title": "DMGS equation 3.3, f2 term", "topics": [ "lst_k3_f2f" ] }, { "page": "lst_k3_f2fa", "title": "The second derivative of the density", "topics": [ "lst_k3_f2fa" ] }, { "page": "lst_k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_k3_fd" ] }, { "page": "lst_k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_k3_fdd" ] }, { "page": "lst_k3_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "lst_k3_ldd" ] }, { "page": "lst_k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "lst_k3_ldda" ] }, { "page": "lst_k3_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "lst_k3_lddd" ] }, { "page": "lst_k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "lst_k3_lddda" ] }, { "page": "lst_k3_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "lst_k3_lmn" ] }, { "page": "lst_k3_lmnp", "title": "One component of the third derivative of the normalized log-likelihood", "topics": [ "lst_k3_lmnp" ] }, { "page": "lst_k3_logf", "title": "Logf for RUST", "topics": [ "lst_k3_logf" ] }, { "page": "lst_k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_k3_logfdd" ] }, { "page": "lst_k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_k3_logfddd" ] }, { "page": "lst_k3_loglik", "title": "log-likelihood function", "topics": [ "lst_k3_loglik" ] }, { "page": "lst_k3_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "lst_k3_logscores" ] }, { "page": "lst_k3_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "lst_k3_mu1f" ] }, { "page": "lst_k3_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "lst_k3_mu2f" ] }, { "page": "lst_k3_p1f", "title": "DMGS equation 3.3, p1 term", "topics": [ "lst_k3_p1f" ] }, { "page": "lst_k3_p2f", "title": "DMGS equation 3.3, p2 term", "topics": [ "lst_k3_p2f" ] }, { "page": "lst_k3_waic", "title": "Waic", "topics": [ "lst_k3_waic" ] }, { "page": "lst_p1k3_cp", "title": "t Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dlst_p1k3_cp", "lst_p1k3_cp", "plst_p1k3_cp", "qlst_p1k3_cp", "rlst_p1k3_cp", "tlst_p1k3_cp" ] }, { "page": "lst_p1k3_f1f", "title": "DMGS equation 2.1, f1 term", "topics": [ "lst_p1k3_f1f" ] }, { "page": "lst_p1k3_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "lst_p1k3_f1fa" ] }, { "page": "lst_p1k3_f1fw", "title": "The first derivative of the densityfor WAIC", "topics": [ "lst_p1k3_f1fw" ] }, { "page": "lst_p1k3_f2f", "title": "DMGS equation 2.1, f2 term", "topics": [ "lst_p1k3_f2f" ] }, { "page": "lst_p1k3_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "lst_p1k3_f2fa" ] }, { "page": "lst_p1k3_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "lst_p1k3_f2fw" ] }, { "page": "lst_p1k3_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_p1k3_fd" ] }, { "page": "lst_p1k3_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_p1k3_fdd" ] }, { "page": "lst_p1k3_ldd", "title": "Second derivative matrix of the normalized log-likelihood", "topics": [ "lst_p1k3_ldd" ] }, { "page": "lst_p1k3_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "lst_p1k3_ldda" ] }, { "page": "lst_p1k3_lddd", "title": "Third derivative tensor of the normalized log-likelihood", "topics": [ "lst_p1k3_lddd" ] }, { "page": "lst_p1k3_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "lst_p1k3_lddda" ] }, { "page": "lst_p1k3_lmn", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "lst_p1k3_lmn" ] }, { "page": "lst_p1k3_lmnp", "title": "One component of the second derivative of the normalized log-likelihood", "topics": [ "lst_p1k3_lmnp" ] }, { "page": "lst_p1k3_logf", "title": "Logf for RUST", "topics": [ "lst_p1k3_logf" ] }, { "page": "lst_p1k3_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_p1k3_logfdd" ] }, { "page": "lst_p1k3_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "lst_p1k3_logfddd" ] }, { "page": "lst_p1k3_loglik", "title": "LST-with-p1 observed log-likelihood function", "topics": [ "lst_p1k3_loglik" ] }, { "page": "lst_p1k3_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "lst_p1k3_logscores" ] }, { "page": "lst_p1k3_mu1f", "title": "DMGS equation 3.3, mu1 term", "topics": [ "lst_p1k3_mu1f" ] }, { "page": "lst_p1k3_mu2f", "title": "DMGS equation 3.3, mu2 term", "topics": [ "lst_p1k3_mu2f" ] }, { "page": "lst_p1k3_p1f", "title": "DMGS equation 2.1, p1 term", "topics": [ "lst_p1k3_p1f" ] }, { "page": "lst_p1k3_p2f", "title": "DMGS equation 2.1, p2 term", "topics": [ "lst_p1k3_p2f" ] }, { "page": "lst_p1k3_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "lst_p1k3_predictordata" ] }, { "page": "lst_p1k3_setics", "title": "Set initial conditions", "topics": [ "lst_p1k3_setics" ] }, { "page": "lst_p1k3_waic", "title": "Waic", "topics": [ "lst_p1k3_waic" ] }, { "page": "make_cwaic", "title": "Make WAIC", "topics": [ "make_cwaic" ] }, { "page": "make_maic", "title": "Calculate MAIC", "topics": [ "make_maic" ] }, { "page": "make_se", "title": "Make Standard Errors from lddi", "topics": [ "make_se" ] }, { "page": "make_waic", "title": "Make WAIC", "topics": [ "make_waic" ] }, { "page": "makebetat0", "title": "Calculate the location parameter when there are predictors (single time point)", "topics": [ "makebetat0" ] }, { "page": "makebetatm", "title": "Calculate the location parameter when there are predictors (multiple time points)", "topics": [ "makebetatm" ] }, { "page": "makemuhat0", "title": "Make muhat0", "topics": [ "makemuhat0" ] }, { "page": "makeq", "title": "Calculates quantiles from simulations by inverting the Hazen CDF", "topics": [ "makeq" ] }, { "page": "maket0", "title": "Determine t0", "topics": [ "maket0" ] }, { "page": "maketresid0", "title": "Make ta0", "topics": [ "maketresid0" ] }, { "page": "man", "title": "A blank function I use for setting up the man page information", "topics": [ "man" ] }, { "page": "man1f", "title": "Return message for f1f, p1f, mu1f", "topics": [ "man1f" ] }, { "page": "man2f", "title": "Return message for f2f, p2f, mu2f", "topics": [ "man2f" ] }, { "page": "manboot", "title": "Return message for boot", "topics": [ "manboot" ] }, { "page": "mancheckmle", "title": "Return message for checkmle", "topics": [ "mancheckmle" ] }, { "page": "mandsub", "title": "Return message for dsub", "topics": [ "mandsub" ] }, { "page": "manf", "title": "Blank function I use for setting up the man page information for the functions", "topics": [ "manf" ] }, { "page": "manldd", "title": "Return message for ldd", "topics": [ "manldd" ] }, { "page": "manlddd", "title": "Return message for lddd", "topics": [ "manlddd" ] }, { "page": "manlnn", "title": "Return message for lnn", "topics": [ "manlnn" ] }, { "page": "manlnnn", "title": "Return message for lnnn", "topics": [ "manlnnn" ] }, { "page": "manlogf", "title": "Return message for Logf", "topics": [ "manlogf" ] }, { "page": "manloglik", "title": "Return message for loglik", "topics": [ "manloglik" ] }, { "page": "manlogscores", "title": "Return message for logscores", "topics": [ "manlogscores" ] }, { "page": "manmeans", "title": "Return message for means", "topics": [ "manmeans" ] }, { "page": "manpredictor", "title": "Return message for predictor.", "topics": [ "manpredictor" ] }, { "page": "manvector", "title": "Return message for vector", "topics": [ "manvector" ] }, { "page": "manwaic", "title": "Return message for WAIC", "topics": [ "manwaic" ] }, { "page": "movexiawayfromzero", "title": "Move xi away from zero a bit", "topics": [ "movexiawayfromzero" ] }, { "page": "ms_flat_1tail", "title": "Illustration of Model Selection Among 10 One Tail Distributions from the 'fitdistcp' Package", "topics": [ "ms_flat_1tail" ] }, { "page": "ms_flat_2tail", "title": "Illustration of Model Selection Among 18 Distributions from the 'fitdistcp' Package", "topics": [ "ms_flat_2tail" ] }, { "page": "ms_predictors_1tail", "title": "Model Selection Among 5 Distributions with predictors from the 'fitdistcp' Package", "topics": [ "ms_predictors_1tail" ] }, { "page": "ms_predictors_2tail", "title": "Model Selection Among 6 Distributions with predictors from the 'fitdistcp' Package", "topics": [ "ms_predictors_2tail" ] }, { "page": "nopdfcdfmsg", "title": "Message to explain why GEV and GPD 'd***' and 'p***' routines don't return DMGS pdfs and cdfs", "topics": [ "nopdfcdfmsg" ] }, { "page": "norm_boot", "title": "Bootstrap", "topics": [ "norm_boot" ] }, { "page": "norm_cp", "title": "Normal Distribution Predictions Based on a Calibrating Prior", "topics": [ "dnorm_cp", "norm_cp", "pnorm_cp", "qnorm_cp", "rnorm_cp", "tnorm_cp" ] }, { "page": "norm_dmgs_cp", "title": "Normal Distribution Predictions Based on a Calibrating Prior, using DMGS (for testing only)", "topics": [ "dnorm_dmgs_cp", "norm_dmgs_cp", "pnorm_dmgs_cp", "qnorm_dmgs_cp", "rnorm_dmgs_cp" ] }, { "page": "norm_dmgs_loglik", "title": "log-likelihood function", "topics": [ "norm_dmgs_loglik" ] }, { "page": "norm_dmgs_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "norm_dmgs_logscores" ] }, { "page": "norm_dmgs_means", "title": "MLE and RHP predictive means", "topics": [ "norm_dmgs_means" ] }, { "page": "norm_dmgs_waic", "title": "Waic", "topics": [ "norm_dmgs_waic" ] }, { "page": "norm_f1fa", "title": "The first derivative of the density", "topics": [ "norm_f1fa" ] }, { "page": "norm_f2fa", "title": "The second derivative of the density", "topics": [ "norm_f2fa" ] }, { "page": "norm_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_fd" ] }, { "page": "norm_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_fdd" ] }, { "page": "norm_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "norm_ldda" ] }, { "page": "norm_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "norm_lddda" ] }, { "page": "norm_logf", "title": "Logf for RUST", "topics": [ "norm_logf" ] }, { "page": "norm_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_logfdd" ] }, { "page": "norm_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_logfddd" ] }, { "page": "norm_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "norm_logscores" ] }, { "page": "norm_ml_params", "title": "Maximum likelihood estimator", "topics": [ "norm_ml_params" ] }, { "page": "norm_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "norm_mu1fa" ] }, { "page": "norm_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "norm_mu2fa" ] }, { "page": "norm_p1_cp", "title": "Normal Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dnorm_p1_cp", "norm_p1_cp", "pnorm_p1_cp", "qnorm_p1_cp", "rnorm_p1_cp", "tnorm_p1_cp" ] }, { "page": "norm_p1_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "norm_p1_f1fa" ] }, { "page": "norm_p1_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "norm_p1_f1fw" ] }, { "page": "norm_p1_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "norm_p1_f2fa" ] }, { "page": "norm_p1_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "norm_p1_f2fw" ] }, { "page": "norm_p1_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_fd" ] }, { "page": "norm_p1_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_fdd" ] }, { "page": "norm_p1_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "norm_p1_ldda" ] }, { "page": "norm_p1_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "norm_p1_lddda" ] }, { "page": "norm_p1_logf", "title": "Logf for RUST", "topics": [ "norm_p1_logf" ] }, { "page": "norm_p1_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_logfdd" ] }, { "page": "norm_p1_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_logfddd" ] }, { "page": "norm_p1_loglik", "title": "Normal-with-p1 observed log-likelihood function", "topics": [ "norm_p1_loglik" ] }, { "page": "norm_p1_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "norm_p1_logscores" ] }, { "page": "norm_p1_mlparams", "title": "Maximum likelihood estimator", "topics": [ "norm_p1_mlparams" ] }, { "page": "norm_p1_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "norm_p1_mu1fa" ] }, { "page": "norm_p1_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "norm_p1_mu2fa" ] }, { "page": "norm_p1_p1fa", "title": "The first derivative of the cdf", "topics": [ "norm_p1_p1fa" ] }, { "page": "norm_p1_p2fa", "title": "The second derivative of the cdf", "topics": [ "norm_p1_p2fa" ] }, { "page": "norm_p1_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_pd" ] }, { "page": "norm_p1_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p1_pdd" ] }, { "page": "norm_p1_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "norm_p1_predictordata" ] }, { "page": "norm_p1_waic", "title": "Waic", "topics": [ "norm_p1_waic" ] }, { "page": "norm_p12_boot", "title": "Bootstrap", "topics": [ "norm_p12_boot" ] }, { "page": "norm_p12_checkmle", "title": "Check MLE", "topics": [ "norm_p12_checkmle" ] }, { "page": "norm_p12_cp", "title": "Normal Distribution with Predictors on both Mean and Standard Deviation, with Parameter Uncertainty", "topics": [ "dnorm_p12_cp", "norm_p12_cp", "pnorm_p12_cp", "qnorm_p12_cp", "rnorm_p12_cp", "tnorm_p12_cp" ] }, { "page": "norm_p12_exampledata", "title": "Norm_p12 example data", "topics": [ "norm_p12_exampledata" ] }, { "page": "norm_p12_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "norm_p12_f1fa" ] }, { "page": "norm_p12_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "norm_p12_f1fw" ] }, { "page": "norm_p12_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "norm_p12_f2fa" ] }, { "page": "norm_p12_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "norm_p12_f2fw" ] }, { "page": "norm_p12_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_fd" ] }, { "page": "norm_p12_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_fdd" ] }, { "page": "norm_p12_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "norm_p12_ldda" ] }, { "page": "norm_p12_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "norm_p12_lddda" ] }, { "page": "norm_p12_logf", "title": "Logf for RUST", "topics": [ "norm_p12_logf" ] }, { "page": "norm_p12_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_logfdd" ] }, { "page": "norm_p12_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_logfddd" ] }, { "page": "norm_p12_loglik", "title": "observed log-likelihood function", "topics": [ "norm_p12_loglik" ] }, { "page": "norm_p12_logscores", "title": "Log scores for 5 predictions calculated using leave-one-out", "topics": [ "norm_p12_logscores" ] }, { "page": "norm_p12_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "norm_p12_mu1fa" ] }, { "page": "norm_p12_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "norm_p12_mu2fa" ] }, { "page": "norm_p12_p1fa", "title": "The first derivative of the cdf", "topics": [ "norm_p12_p1fa" ] }, { "page": "norm_p12_p2fa", "title": "The second derivative of the cdf", "topics": [ "norm_p12_p2fa" ] }, { "page": "norm_p12_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_pd" ] }, { "page": "norm_p12_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_p12_pdd" ] }, { "page": "norm_p12_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "norm_p12_predictordata" ] }, { "page": "norm_p12_setics", "title": "Set initial conditions", "topics": [ "norm_p12_setics" ] }, { "page": "norm_p12_waic", "title": "Waic", "topics": [ "norm_p12_waic" ] }, { "page": "norm_p1fa", "title": "The first derivative of the cdf", "topics": [ "norm_p1fa" ] }, { "page": "norm_p2fa", "title": "The second derivative of the cdf", "topics": [ "norm_p2fa" ] }, { "page": "norm_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_pd" ] }, { "page": "norm_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "norm_pdd" ] }, { "page": "norm_unbiasedv_params", "title": "Method of moments estimator", "topics": [ "norm_unbiasedv_params" ] }, { "page": "norm_waic", "title": "Waic", "topics": [ "norm_waic" ] }, { "page": "pareto_k2_cp", "title": "Pareto Distribution Predictions Based on a Calibrating Prior", "topics": [ "dpareto_k2_cp", "pareto_k2_cp", "ppareto_k2_cp", "qpareto_k2_cp", "rpareto_k2_cp", "tpareto_k2_cp" ] }, { "page": "pareto_k2_f1fa", "title": "The first derivative of the density", "topics": [ "pareto_k2_f1fa" ] }, { "page": "pareto_k2_f2fa", "title": "The second derivative of the density", "topics": [ "pareto_k2_f2fa" ] }, { "page": "pareto_k2_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_fd" ] }, { "page": "pareto_k2_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_fdd" ] }, { "page": "pareto_k2_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "pareto_k2_ldda" ] }, { "page": "pareto_k2_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "pareto_k2_lddda" ] }, { "page": "pareto_k2_logf", "title": "Logf for RUST", "topics": [ "pareto_k2_logf" ] }, { "page": "pareto_k2_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_logfdd" ] }, { "page": "pareto_k2_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_logfddd" ] }, { "page": "pareto_k2_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "pareto_k2_logscores" ] }, { "page": "pareto_k2_ml_params", "title": "Maximum likelihood estimator", "topics": [ "pareto_k2_ml_params" ] }, { "page": "pareto_k2_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "pareto_k2_mu1fa" ] }, { "page": "pareto_k2_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "pareto_k2_mu2fa" ] }, { "page": "pareto_k2_p1fa", "title": "The first derivative of the cdf", "topics": [ "pareto_k2_p1fa" ] }, { "page": "pareto_k2_p2fa", "title": "The second derivative of the cdf", "topics": [ "pareto_k2_p2fa" ] }, { "page": "pareto_k2_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_pd" ] }, { "page": "pareto_k2_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_k2_pdd" ] }, { "page": "pareto_k2_waic", "title": "Waic", "topics": [ "pareto_k2_waic" ] }, { "page": "pareto_p1k2_cp", "title": "Pareto Distribution with a Predictor, Predictions Based on a Calibrating Prior", "topics": [ "dpareto_p1k2_cp", "pareto_p1k2_cp", "ppareto_p1k2_cp", "qpareto_p1k2_cp", "rpareto_p1k2_cp", "tpareto_p1k2_cp" ] }, { "page": "pareto_p1k2_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "pareto_p1k2_f1fa" ] }, { "page": "pareto_p1k2_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "pareto_p1k2_f1fw" ] }, { "page": "pareto_p1k2_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "pareto_p1k2_f2fa" ] }, { "page": "pareto_p1k2_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "pareto_p1k2_f2fw" ] }, { "page": "pareto_p1k2_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_fd" ] }, { "page": "pareto_p1k2_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_fdd" ] }, { "page": "pareto_p1k2_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "pareto_p1k2_ldda" ] }, { "page": "pareto_p1k2_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "pareto_p1k2_lddda" ] }, { "page": "pareto_p1k2_logf", "title": "Logf for RUST", "topics": [ "pareto_p1k2_logf" ] }, { "page": "pareto_p1k2_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_logfdd" ] }, { "page": "pareto_p1k2_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_logfddd" ] }, { "page": "pareto_p1k2_loglik", "title": "observed log-likelihood function", "topics": [ "pareto_p1k2_loglik" ] }, { "page": "pareto_p1k2_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "pareto_p1k2_logscores" ] }, { "page": "pareto_p1k2_means", "title": "pareto_k1 distribution: RHP mean", "topics": [ "pareto_p1k2_means" ] }, { "page": "pareto_p1k2_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "pareto_p1k2_mu1fa" ] }, { "page": "pareto_p1k2_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "pareto_p1k2_mu2fa" ] }, { "page": "pareto_p1k2_p1fa", "title": "The first derivative of the cdf", "topics": [ "pareto_p1k2_p1fa" ] }, { "page": "pareto_p1k2_p2fa", "title": "The second derivative of the cdf", "topics": [ "pareto_p1k2_p2fa" ] }, { "page": "pareto_p1k2_pd", "title": "First derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_pd" ] }, { "page": "pareto_p1k2_pdd", "title": "Second derivative of the cdf Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "pareto_p1k2_pdd" ] }, { "page": "pareto_p1k2_predictordata", "title": "Predicted Parameter and Generalized Residuals", "topics": [ "pareto_p1k2_predictordata" ] }, { "page": "pareto_p1k2_waic", "title": "Waic", "topics": [ "pareto_p1k2_waic" ] }, { "page": "pcauchy_p1", "title": "Cauchy-with-p1 distribution function", "topics": [ "pcauchy_p1" ] }, { "page": "pexp_p1", "title": "Exponential-with-p1 distribution function", "topics": [ "pexp_p1" ] }, { "page": "pfrechet_p2k1", "title": "Frechet_k1-with-p2 distribution function", "topics": [ "pfrechet_p2k1" ] }, { "page": "pgev_p1", "title": "GEVD-with-p1: Distribution function", "topics": [ "pgev_p1" ] }, { "page": "pgev_p12", "title": "GEVD-with-p1: Distribution function", "topics": [ "pgev_p12" ] }, { "page": "pgev_p123", "title": "GEVD-with-p1: Distribution function", "topics": [ "pgev_p123" ] }, { "page": "pgev_p1k3", "title": "GEV-with-known-shape-with-p1 distribution function", "topics": [ "pgev_p1k3" ] }, { "page": "pgev_p1n", "title": "GEVD-with-p1: Distribution function", "topics": [ "pgev_p1n" ] }, { "page": "pgumbel_p1", "title": "Gumbel-with-p1 distribution function", "topics": [ "pgumbel_p1" ] }, { "page": "plnorm_p1", "title": "Normal-with-p1 distribution function", "topics": [ "plnorm_p1" ] }, { "page": "plogis_p1", "title": "Logistic-with-p1 distribution function", "topics": [ "plogis_p1" ] }, { "page": "plst_p1k3", "title": "LST-with-p1 distribution function", "topics": [ "plst_p1k3" ] }, { "page": "pnorm_p1", "title": "Normal-with-p1 distribution function", "topics": [ "pnorm_p1" ] }, { "page": "pnorm_p1_formula", "title": "Linear regression formula, densities", "topics": [ "pnorm_p1_formula" ] }, { "page": "pnorm_p12", "title": "Normal-with-p12: Distribution function", "topics": [ "pnorm_p12" ] }, { "page": "ppareto_p1k2", "title": "pareto_k1-with-p2 distribution function", "topics": [ "ppareto_p1k2" ] }, { "page": "punif_formula", "title": "Predictive CDFs", "topics": [ "punif_formula" ] }, { "page": "pweibull_p2", "title": "Weibull-with-p1 distribution function", "topics": [ "pweibull_p2" ] }, { "page": "qcauchy_p1", "title": "Cauchy-with-p1 quantile function", "topics": [ "qcauchy_p1" ] }, { "page": "qexp_p1", "title": "-with-p1 quantile function", "topics": [ "qexp_p1" ] }, { "page": "qfrechet_p2k1", "title": "Frechet_k1-with-p2 quantile function", "topics": [ "qfrechet_p2k1" ] }, { "page": "qgamma_k1_ppm", "title": "Temporary dummy for one of the cp models", "topics": [ "qgamma_k1_ppm" ] }, { "page": "qgamma_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgamma_ppm" ] }, { "page": "qgev_k12_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgev_k12_ppm" ] }, { "page": "qgev_mpd_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgev_mpd_ppm" ] }, { "page": "qgev_p1", "title": "GEVD-with-p1: Quantile function", "topics": [ "qgev_p1" ] }, { "page": "qgev_p1_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgev_p1_ppm" ] }, { "page": "qgev_p12", "title": "GEVD-with-p1: Quantile function", "topics": [ "qgev_p12" ] }, { "page": "qgev_p123", "title": "GEVD-with-p1: Quantile function", "topics": [ "qgev_p123" ] }, { "page": "qgev_p1k3", "title": "GEV-with-known-shape-with-p1 quantile function", "topics": [ "qgev_p1k3" ] }, { "page": "qgev_p1n", "title": "GEVD-with-p1: Quantile function", "topics": [ "qgev_p1n" ] }, { "page": "qgev_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgev_ppm" ] }, { "page": "qgpd_k1_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qgpd_k1_ppm" ] }, { "page": "qgumbel_p1", "title": "Gumbel-with-p1 quantile function", "topics": [ "qgumbel_p1" ] }, { "page": "qlnorm_p1", "title": "Normal-with-p1 quantile function", "topics": [ "qlnorm_p1" ] }, { "page": "qlogis_p1", "title": "Logistic-with-p1 quantile function", "topics": [ "qlogis_p1" ] }, { "page": "qlst_p1k3", "title": "LST-with-p1 quantile function", "topics": [ "qlst_p1k3" ] }, { "page": "qnorm_p1", "title": "Normal-with-p1 quantile function", "topics": [ "qnorm_p1" ] }, { "page": "qnorm_p1_formula", "title": "Linear regression formula, quantiles", "topics": [ "qnorm_p1_formula" ] }, { "page": "qnorm_p12", "title": "Normal-with-p12: Quantile function", "topics": [ "qnorm_p12" ] }, { "page": "qntt_ppm", "title": "Temporary dummy for one of the ppm models", "topics": [ "qntt_ppm" ] }, { "page": "qpareto_p1k2", "title": "pareto_k1-with-p2 quantile function", "topics": [ "qpareto_p1k2" ] }, { "page": "qunif_formula", "title": "Predictive Quantiles", "topics": [ "qunif_formula" ] }, { "page": "qweibull_p2", "title": "Weibull-with-p1 quantile function", "topics": [ "qweibull_p2" ] }, { "page": "reltest", "title": "Evaluation of Reliability for Models in the 'fitdistcp' Package", "topics": [ "reltest" ] }, { "page": "reltest_makeep", "title": "Calculate EP from one model", "topics": [ "reltest_makeep" ] }, { "page": "reltest_makemaxep", "title": "Calculate MaxEP from one model", "topics": [ "reltest_makemaxep" ] }, { "page": "reltest_params", "title": "Set default params for the chosen model", "topics": [ "reltest_params" ] }, { "page": "reltest_predict", "title": "Make prediction from one model", "topics": [ "reltest_predict" ] }, { "page": "reltest_simulate", "title": "Random training data from one model", "topics": [ "reltest_simulate" ] }, { "page": "reltest2", "title": "Evaluation of Reliability for Certain Additional Models in the 'fitdistcp' Package", "topics": [ "reltest2" ] }, { "page": "reltest2_cases", "title": "Cases", "topics": [ "reltest2_cases" ] }, { "page": "reltest2_makeep", "title": "Cases", "topics": [ "reltest2_makeep" ] }, { "page": "reltest2_plot", "title": "Plotting routine for reltest2", "topics": [ "reltest2_plot" ] }, { "page": "reltest2_predict", "title": "Make prediction from one model", "topics": [ "reltest2_predict" ] }, { "page": "reltest2_simulate", "title": "Random training data from one model", "topics": [ "reltest2_simulate" ] }, { "page": "rgev_minmax", "title": "rgev but with maxlik xi guaranteed within bounds", "topics": [ "rgev_minmax" ] }, { "page": "rgev_p1_minmax", "title": "rgev for gev_p1 but with maxlik xi within bounds", "topics": [ "rgev_p1_minmax" ] }, { "page": "rgev_p12_minmax", "title": "rgev for gev_p12 but with maxlik xi within bounds", "topics": [ "rgev_p12_minmax" ] }, { "page": "rgev_p123_minmax", "title": "rgev for gev_p123 but with maxlik xi within bounds", "topics": [ "rgev_p123_minmax" ] }, { "page": "rgev_p1n_minmax", "title": "rgev for gev_p1n but with maxlik xi within bounds", "topics": [ "rgev_p1n_minmax" ] }, { "page": "rgpd_k1_minmax", "title": "rgpd for gpd_k1 but with maxlik xi within bounds", "topics": [ "rgpd_k1_minmax" ] }, { "page": "rhp_dmgs_cpmethod", "title": "Generates a comment about the method", "topics": [ "rhp_dmgs_cpmethod" ] }, { "page": "rust_pumethod", "title": "Generates a comment about the method", "topics": [ "rust_pumethod" ] }, { "page": "testppm_plot", "title": "Plotting routine for testppm", "topics": [ "testppm_plot" ] }, { "page": "unif_cp", "title": "Uniform Distribution Predictions Based on a Calibrating Prior", "topics": [ "dunif_cp", "punif_cp", "qunif_cp", "runif_cp", "unif_cp" ] }, { "page": "weibull_cp", "title": "Weibull Distribution Predictions Based on a Calibrating Prior", "topics": [ "dweibull_cp", "pweibull_cp", "qweibull_cp", "rweibull_cp", "tweibull_cp", "weibull_cp" ] }, { "page": "weibull_f1fa", "title": "The first derivative of the density", "topics": [ "weibull_f1fa" ] }, { "page": "weibull_f2fa", "title": "The second derivative of the density", "topics": [ "weibull_f2fa" ] }, { "page": "weibull_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_fd" ] }, { "page": "weibull_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_fdd" ] }, { "page": "weibull_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "weibull_ldda" ] }, { "page": "weibull_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "weibull_lddda" ] }, { "page": "weibull_logf", "title": "Logf for RUST", "topics": [ "weibull_logf" ] }, { "page": "weibull_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_logfdd" ] }, { "page": "weibull_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_logfddd" ] }, { "page": "weibull_loglik", "title": "log-likelihood function", "topics": [ "weibull_loglik" ] }, { "page": "weibull_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "weibull_logscores" ] }, { "page": "weibull_means", "title": "MLE and RHP predictive means", "topics": [ "weibull_means" ] }, { "page": "weibull_mu1fa", "title": "Minus the first derivative of the cdf, at alpha", "topics": [ "weibull_mu1fa" ] }, { "page": "weibull_mu2fa", "title": "Minus the second derivative of the cdf, at alpha", "topics": [ "weibull_mu2fa" ] }, { "page": "weibull_p1fa", "title": "The first derivative of the cdf", "topics": [ "weibull_p1fa" ] }, { "page": "weibull_p2_cp", "title": "weibull Distribution with a Predictor on the Scale Parameter, Predictions Based on a Calibrating Prior", "topics": [ "dweibull_p2_cp", "pweibull_p2_cp", "qweibull_p2_cp", "rweibull_p2_cp", "tweibull_p2_cp", "weibull_p2_cp" ] }, { "page": "weibull_p2_f1fa", "title": "The first derivative of the density for DMGS", "topics": [ "weibull_p2_f1fa" ] }, { "page": "weibull_p2_f1fw", "title": "The first derivative of the density for WAIC", "topics": [ "weibull_p2_f1fw" ] }, { "page": "weibull_p2_f2fa", "title": "The second derivative of the density for DMGS", "topics": [ "weibull_p2_f2fa" ] }, { "page": "weibull_p2_f2fw", "title": "The second derivative of the density for WAIC", "topics": [ "weibull_p2_f2fw" ] }, { "page": "weibull_p2_fd", "title": "First derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_p2_fd" ] }, { "page": "weibull_p2_fdd", "title": "Second derivative of the density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_p2_fdd" ] }, { "page": "weibull_p2_ldda", "title": "The second derivative of the normalized log-likelihood", "topics": [ "weibull_p2_ldda" ] }, { "page": "weibull_p2_lddda", "title": "The third derivative of the normalized log-likelihood", "topics": [ "weibull_p2_lddda" ] }, { "page": "weibull_p2_logf", "title": "Logf for RUST", "topics": [ "weibull_p2_logf" ] }, { "page": "weibull_p2_logfdd", "title": "Second derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_p2_logfdd" ] }, { "page": "weibull_p2_logfddd", "title": "Third derivative of the log density Created by Stephen Jewson using Deriv() by Andrew Clausen and Serguei Sokol", "topics": [ "weibull_p2_logfddd" ] }, { "page": "weibull_p2_loglik", "title": "observed log-likelihood function", "topics": [ "weibull_p2_loglik" ] }, { "page": "weibull_p2_logscores", "title": "Log scores for MLE and RHP predictions calculated using leave-one-out", "topics": [ "weibull_p2_logscores" ] }, { "page": "weibull_p2_means", "title": 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