swh:1:snp:2c68a6c5a8af2f06ac2c0225927f25b54fd1f9d0
Tip revision: 9985109256c08d654edb46adb9cb20c913fb1888 authored by Dominique Makowski on 29 May 2019, 14:10:02 UTC
version 0.2.0
version 0.2.0
Tip revision: 9985109
DESCRIPTION
Package: bayestestR
Type: Package
Title: Understand and Describe Bayesian Models and Posterior
Distributions
Version: 0.2.0
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"))
)
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 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] (<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>)
Repository: CRAN
Date/Publication: 2019-05-29 15:10:02 UTC