Type: Package Package: bayestestR Title: Understand and Describe Bayesian Models and Posterior Distributions Version: 0.10.5 Authors@R: c(person(given = "Dominique", family = "Makowski", role = c("aut", "cre"), email = "dom.makowski@gmail.com", comment = c(ORCID = "0000-0001-5375-9967", Twitter = "@Dom_Makowski")), person(given = "Daniel", family = "Lüdecke", role = "aut", email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206", Twitter = "@strengejacke")), person(given = "Mattan S.", family = "Ben-Shachar", role = "aut", email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801", Twitter = "@mattansb")), person(given = "Indrajeet", family = "Patil", role = "aut", email = "patilindrajeet.science@gmail.com", comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")), person(given = "Michael D.", family = "Wilson", role = "aut", email = "michael.d.wilson@curtin.edu.au", comment = c(ORCID = "0000-0003-4143-7308")), person(given = "Paul-Christian", family = "Bürkner", role = "rev", email = "paul.buerkner@gmail.com"), person(given = "Tristan", family = "Mahr", role = "rev", email = "tristan.mahr@wisc.edu", comment = c(ORCID = "0000-0002-8890-5116")), person(given = "Henrik", family = "Singmann", role = "ctb", email = "singmann@gmail.com", comment = c(ORCID = "0000-0002-4842-3657")), person(given = "Quentin F.", family = "Gronau", role = "ctb", comment = c(ORCID = "0000-0001-5510-6943")), person(given = "Sam", family = "Crawley", role = "ctb", email = "sam@crawley.nz", comment = c(ORCID = "0000-0002-7847-0411"))) Maintainer: Dominique Makowski Description: Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 ) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). Depends: R (>= 3.4) Imports: insight (>= 0.14.1), datawizard, methods, stats, utils Suggests: BayesFactor, bayesQR, blavaan, bridgesampling, brms, dplyr, effectsize, emmeans, GGally, ggplot2, ggridges, httr, KernSmooth, knitr, lavaan, lme4, logspline, MASS, mclust, mediation, modelbased, parameters, performance, rmarkdown, rstan, rstanarm, see, spelling, stringr, testthat, tidyr, tweedie License: GPL-3 URL: https://easystats.github.io/bayestestR/ BugReports: https://github.com/easystats/bayestestR/issues VignetteBuilder: knitr Encoding: UTF-8 Language: en-US RoxygenNote: 7.1.1 Config/testthat/edition: 3 NeedsCompilation: no Packaged: 2021-07-23 12:56:43 UTC; user Author: Dominique Makowski [aut, cre] (, @Dom_Makowski), Daniel Lüdecke [aut] (, @strengejacke), Mattan S. Ben-Shachar [aut] (, @mattansb), Indrajeet Patil [aut] (, @patilindrajeets), Michael D. Wilson [aut] (), Paul-Christian Bürkner [rev], Tristan Mahr [rev] (), Henrik Singmann [ctb] (), Quentin F. Gronau [ctb] (), Sam Crawley [ctb] () Repository: CRAN Date/Publication: 2021-07-26 09:40:08 UTC