insight (>= 0.17.0), datawizard (>= 0.4.0), graphics, methods,
stats, utils
BayesFactor, bayesQR, blavaan, bridgesampling, brms, dplyr,
effectsize, emmeans, gamm4, GGally, ggdist, ggplot2, ggridges,
glmmTMB, httr, KernSmooth, knitr, lavaan, lme4, logspline,
MASS, mclust, mediation, modelbased, parameters, patchwork,
performance, poorman, quadprog, posterior, rmarkdown, rstan,
rstanarm, see, spelling, stringr, testthat, tidyr, tweedie

insight (>= 0.18.2), datawizard (>= 0.5.1), graphics, methods,
stats, utils
BayesFactor, bayesQR, bayesplot, BH, blavaan, bridgesampling,
brms, effectsize, emmeans, gamm4, ggdist, ggplot2, glmmTMB,
httr, KernSmooth, knitr, lavaan, lme4, logspline, MASS, mclust,
mediation, modelbased, parameters, patchwork, performance,
quadprog, posterior, RcppEigen, rmarkdown, rstan, rstanarm,
see, testthat, tweedie

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"))
)
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).
BayesFactor, bridgesampling, brms, broom, covr, dplyr, tidyr,
GGally, ggplot2, ggridges, KernSmooth, knitr, lme4, logspline,
see, rmarkdown, rstan, rstanarm, stringr, testthat
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>)

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"))
)
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).
BayesFactor, bridgesampling, brms, broom, covr, dplyr,
emmeans, tidyr, GGally, ggplot2, ggridges, KernSmooth, knitr,
lme4, logspline, see, rmarkdown, rstan, rstanarm, stringr,
testthat
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>)