Package: bayestestR Type: Package Title: Understand and Describe Bayesian Models and Posterior Distributions Version: 0.2.5 Authors@R: c( person("Dominique", "Makowski", email = "dom.makowski@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0001-5375-9967")), person("Daniel", "Lüdecke", role = c("aut"), email = "d.luedecke@uke.de", comment = c(ORCID = "0000-0002-8895-3206")), person("Mattan S.", "Ben-Shachar", role = c("aut"), email = "matanshm@post.bgu.ac.il", comment = c(ORCID = "0000-0002-4287-4801")), person("Michael D.", "Wilson", role = c("aut"), email = "michael.d.wilson@curtin.edu.au", comment = c(ORCID = "0000-0003-4143-7308")), person("Paul-Christian", "Bürkner", role = c("rev"), email = "paul.buerkner@gmail.com"), person("Tristan", "Mahr", role = c("rev"), email = "tristan.mahr@wisc.edu", comment = c(ORCID = "0000-0002-8890-5116")) ) Maintainer: Dominique Makowski URL: https://github.com/easystats/bayestestR BugReports: https://github.com/easystats/bayestestR/issues 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). License: GPL-3 Encoding: UTF-8 LazyData: true Depends: R (>= 3.0), stats, methods, utils Imports: insight (>= 0.4.0) Suggests: BayesFactor, bridgesampling, brms, broom, covr, dplyr, emmeans, GGally, ggplot2, ggridges, KernSmooth, knitr, lme4, logspline, performance, rmarkdown, rstan, rstanarm, see, stringr, testthat, tidyr RoxygenNote: 6.1.1 Language: en-GB VignetteBuilder: knitr NeedsCompilation: no Packaged: 2019-08-06 08:45:07 UTC; Dom Author: Dominique Makowski [aut, cre] (), Daniel Lüdecke [aut] (), Mattan S. Ben-Shachar [aut] (), Michael D. Wilson [aut] (), Paul-Christian Bürkner [rev], Tristan Mahr [rev] () Repository: CRAN Date/Publication: 2019-08-06 11:20:02 UTC