R (>= 3.0.0), TIMP, shiny, shinydashboard, colorspace, fields

Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see support list of insight; Lüdecke, Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package implements features like standardization or bootstrapping of parameters and models, feature reduction (feature extraction and variable selection) as well as conversion between indices of effect size.
insight (>= 0.4.1), bayestestR (>= 0.2.5), tools
BayesFM, BayesFactor, boot, brms, cAIC4, covr, dplyr, EGAnet
(>= 0.7), knitr, lavaan, lme4, lmerTest, logspline, MASS,
MuMIn, nFactors, pbkrtest, psych, projpred, randomForest,
rmarkdown, rstanarm, see, survey, testthat, VGAM

c(
person("Daniel",
"Lüdecke",
role = c("aut", "cre"),
email = "d.luedecke@uke.de",
comment = c(ORCID = "0000-0002-8895-3206")),
person("Dominique",
"Makowski",
email = "dom.makowski@gmail.com",
role = c("aut"),
comment = c(ORCID = "0000-0001-5375-9967")),
person("Mattan S.",
"Ben-Shachar",
role = c("aut"),
email = "matanshm@post.bgu.ac.il",
comment = c(ORCID = "0000-0002-4287-4801")),
person(given = "Indrajeet",
family = "Patil",
role = c("aut"),
email = "patilindrajeet.science@gmail.com",
comment = c(ORCID = "0000-0003-1995-6531", Twitter = "@patilindrajeets")),
person(given = "Søren",
family = "Højsgaard",
role = c("aut"),
email = "sorenh@math.aau.dk"),
person(given = "Zen J.",
family = "Lau",
role = c("ctb"),
email = "zenjuen.lau@ntu.edu.sg")
)
Utilities for processing the parameters of various
statistical models. Beyond computing p values, CIs, and other indices
for a wide variety of models (see support list of insight; Lüdecke,
Waggoner & Makowski (2019) <doi:10.21105/joss.01412>), this package
implements features like bootstrapping or simulating of parameters and
models, feature reduction (feature extraction and variable selection)
as well as functions to describe data and variable characteristics
(e.g. skewness, kurtosis, smoothness or distribution).
bayestestR (>= 0.7.5), insight (>= 0.11.0), methods, stats,
utils
AER, afex, aod, BayesFactor, BayesFM, bbmle, betareg, blme,
boot, brglm2, brms, broom, cAIC4, car, clubSandwich, cluster,
covr, cplm, dplyr, DRR, effectsize (>= 0.4.0), EGAnet (>= 0.7),
FactoMineR, fastICA, gam, gamlss, gee, geepack, ggplot2,
GLMMadaptive, glmmTMB, GPArotation, lavaan, lavaSearch2, lfe,
lme4, lmerTest, logspline, knitr, MASS, magrittr, Matrix,
mclust, MCMCglmm, mediation, metaBMA, metafor, mice, mfx, mgcv,
multcomp, multimode, MuMIn, M3C, NbClust, nFactors, nlme,
performance (>= 0.5.1), plm, projpred, pscl, psych, quantreg,
randomForest, rmarkdown, rstanarm, sandwich, see, sjstats,
spelling, survey, survival, testthat, TMB, tripack, truncreg,
VGAM
Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>),
Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>),
Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>),
Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>,
@patilindrajeets),
Søren Højsgaard [aut],
Zen J. Lau [ctb]