Raw File
Package: bayestestR
Type: Package
Title: Understand and Describe Bayesian Models and Posterior
Version: 0.2.2
Authors@R: c(
        email = "dom.makowski@gmail.com",
        role = c("aut", "cre"), 
        comment = c(ORCID = "0000-0001-5375-9967")),
		role = c("aut"), 
		email = "d.luedecke@uke.de", 
		comment = c(ORCID = "0000-0002-8895-3206")),
	person("Mattan S.", 
		role = c("aut"), 
		email = "matanshm@post.bgu.ac.il", 
		comment = c(ORCID = "0000-0002-4287-4801")),
	person("Michael D.", 
		role = c("aut"), 
		email = "michael.d.wilson@curtin.edu.au", 
		comment = c(ORCID = "0000-0003-4143-7308"))
Maintainer: Dominique Makowski <dom.makowski@gmail.com>
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 <doi:10.1016/C2012-0-00477-2>) 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 (>= 0.3.0)
Suggests: BayesFactor, bridgesampling, brms, broom, covr, dplyr,
        emmeans, tidyr, GGally, ggplot2, ggridges, KernSmooth, knitr,
        lme4, logspline, see, rmarkdown, rstan, rstanarm, stringr,
RoxygenNote: 6.1.1
Language: en-GB
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2019-06-20 12:12:50 UTC; Dom
Author: Dominique Makowski [aut, cre] (<https://orcid.org/0000-0001-5375-9967>),
  Daniel Lüdecke [aut] (<https://orcid.org/0000-0002-8895-3206>),
  Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>),
  Michael D. Wilson [aut] (<https://orcid.org/0000-0003-4143-7308>)
Repository: CRAN
Date/Publication: 2019-06-20 12:50:03 UTC
back to top