rstanarm (2.19.3)

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Bayesian Applied Regression Modeling via Stan.

Estimates previously compiled regression models using the 'rstan' package, which provides the R interface to the Stan C++ library for Bayesian estimation. Users specify models via the customary R syntax with a formula and data.frame plus some additional arguments for priors.

Maintainer: Ben Goodrich
Author(s): Jonah Gabry [aut], Imad Ali [ctb], Sam Brilleman [ctb], Jacqueline Buros Novik [ctb] (R/stan_jm.R), AstraZeneca [ctb] (R/stan_jm.R), Trustees of Columbia University [cph], Simon Wood [cph] (R/stan_gamm4.R), R Core Deveopment Team [cph] (R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Paul-Christian Burkner [cph] (R/misc.R), Ben Goodrich [cre, aut]

License: GPL (>= 3)

Uses: bayesplot, ggplot2, lme4, loo, Matrix, nlme, Rcpp, RcppParallel, rstan, rstantools, shinystan, survival, betareg, digest, mgcv, data.table, MASS, testthat, gridExtra, roxygen2, knitr, HSAUR3, rmarkdown
Reverse depends: evidence, nauf
Reverse suggests: afex, bayesplot, BayesPostEst, bayestestR, bridgesampling, broom, broom.mixed, butcher, correlation, effectsize, ggeffects, insight, interactions, jtools, loo, lsmeans, merTools, modelbased, parameters, performance, projpred, RBesT, rstan, rstantools, see, shinybrms, shinystan, sjPlot, sjstats, tidybayes
Reverse enhances: emmeans, interactions, jtools

Released about 1 month ago.

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