Raw File
Tip revision: 9985109256c08d654edb46adb9cb20c913fb1888 authored by Dominique Makowski on 29 May 2019, 14:10 UTC
version 0.2.0
Tip revision: 9985109
Package: bayestestR
Type: Package
Title: Understand and Describe Bayesian Models and Posterior
Version: 0.2.0
Authors@R: c(
        email = "",
        role = c("aut", "cre"), 
        comment = c(ORCID = "0000-0001-5375-9967")),
		role = c("aut"), 
		email = "", 
		comment = c(ORCID = "0000-0002-8895-3206")),
	person("Mattan S.", 
		role = c("aut"), 
		email = "", 
		comment = c(ORCID = "0000-0002-4287-4801"))
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 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage and pd).
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.0), stats, methods, utils
Imports: insight (>= 0.3.0)
Suggests: BayesFactor, bridgesampling, brms, broom, covr, dplyr, tidyr,
        GGally, ggplot2, ggridges, KernSmooth, knitr, lme4, logspline,
        see, rmarkdown, rstan, rstanarm, stringr, testthat
RoxygenNote: 6.1.1
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-05-29 14:30:43 UTC; Dom
Author: Dominique Makowski [aut, cre] (<>),
  Daniel Lüdecke [aut] (<>),
  Mattan S. Ben-Shachar [aut] (<>)
Repository: CRAN
Date/Publication: 2019-05-29 15:10:02 UTC
back to top