CRAN/E | bayestestR

bayestestR

Understand and Describe Bayesian Models and Posterior Distributions

Installation

About

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). References: Makowski et al. (2021) doi:10.21105/joss.01541.

Citation bayestestR citation info
easystats.github.io/bayestestR/
Bug report File report

Key Metrics

Version 0.13.2
R ≥ 3.6
Published 2024-02-12 72 days ago
Needs compilation? no
License GPL-3
CRAN checks bayestestR results
Language en-US

Downloads

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Last 365 days 678.182 +4%

Maintainer

Maintainer

Dominique Makowski

dom.makowski@gmail.com

Authors

Dominique Makowski

aut / cre

(@Dom_Makowski)

Daniel Lüdecke

aut

(@strengejacke)

Mattan S. Ben-Shachar

aut

(@mattansb)

Indrajeet Patil

aut

(@patilindrajeets)

Michael D. Wilson

aut

Brenton M. Wiernik

aut

(@bmwiernik)

Paul-Christian Bürkner

rev

Tristan Mahr

rev

Henrik Singmann

ctb

Quentin F. Gronau

ctb

Sam Crawley

ctb

Material

README
NEWS
Reference manual
Package source

In Views

Bayesian

Vignettes

Overview of Vignettes

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

bayestestR archive

Depends

R ≥ 3.6

Imports

insight ≥ 0.19.8
datawizard ≥ 0.9.1
graphics
methods
stats
utils

Suggests

BayesFactor ≥ 0.9.12-4.4
bayesQR
bayesplot
BH
blavaan
bridgesampling
brms
curl
effectsize
emmeans
gamm4
ggdist
ggplot2
glmmTMB
httr
KernSmooth
knitr
lavaan
lme4
logspline ≥ 2.1.21
MASS
mclust
mediation
modelbased
parameters
patchwork
performance
quadprog
posterior
RcppEigen
rmarkdown
rstan
rstanarm
see ≥ 0.7.5
testthat
tweedie

Reverse Imports

brmsmargins
clinicalsignificance
correlation
easystats
effectsize
eiCompare
fbst
modelbased
multifear
multilevelcoda
neatStats
parameters
performance
psycho
report
see
sjPlot
sjstats
snSMART
SSVS

Reverse Suggests

datawizard
emmeans
ggeffects
insight
ordbetareg
statsExpressions