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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.
| Version: | 2.32.1 |
| Depends: | R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods |
| Imports: | bayesplot (≥ 1.7.0), ggplot2 (≥ 2.2.1), lme4 (≥ 1.1-8), loo (≥ 2.1.0), Matrix (≥ 1.2-13), nlme (≥ 3.1-124), posterior, rstan (≥ 2.32.0), rstantools (≥ 2.1.0), shinystan (≥ 2.3.0), stats, survival (≥ 2.40.1), RcppParallel (≥ 5.0.1), utils |
| LinkingTo: | StanHeaders (≥ 2.32.0), rstan (≥ 2.32.0), BH (≥ 1.72.0-2), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1) |
| Suggests: | biglm, betareg, data.table (≥ 1.10.0), digest, gridExtra, HSAUR3, knitr (≥ 1.15.1), MASS, mgcv (≥ 1.8-13), rmarkdown, roxygen2, StanHeaders (≥ 2.21.0), testthat (≥ 1.0.2), gamm4, shiny, V8 |
| Published: | 2024-01-18 |
| Author: | 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] |
| Maintainer: | Ben Goodrich <benjamin.goodrich at columbia.edu> |
| BugReports: | https://github.com/stan-dev/rstanarm/issues |
| License: | GPL (≥ 3) |
| URL: | https://mc-stan.org/rstanarm/, https://discourse.mc-stan.org |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make, pandoc (>= 1.12.3), pandoc-citeproc |
| Citation: | rstanarm citation info |
| Materials: | NEWS |
| In views: | Bayesian, MixedModels, Survival |
| CRAN checks: | rstanarm results |
| Package source: | rstanarm_2.32.1.tar.gz |
| Windows binaries: | r-devel: rstanarm_2.32.1.zip, r-release: rstanarm_2.32.1.zip, r-oldrel: rstanarm_2.32.1.zip |
| macOS binaries: | r-release (arm64): rstanarm_2.32.1.tgz, r-oldrel (arm64): rstanarm_2.32.1.tgz, r-release (x86_64): rstanarm_2.32.1.tgz, r-oldrel (x86_64): rstanarm_2.32.1.tgz |
| Old sources: | rstanarm archive |
| Reverse depends: | evidence, fbst |
| Reverse imports: | BayesPostEst, bayesrules, eefAnalytics, IRexamples, jmBIG, tidyposterior, webSDM |
| Reverse suggests: | afex, bayesMeanScale, bayesplot, bayestestR, bridgesampling, broom.helpers, broom.mixed, conformalbayes, correlation, datawizard, effectsize, embed, ggeffects, INLAjoint, insight, loo, marginaleffects, merTools, modelbased, modelsummary, parameters, performance, projpred, RBesT, report, SAMprior, see, shinybrms, shinystan, sjPlot, tidyAML, tidybayes |
| Reverse enhances: | emmeans, interactions, jtools |
Please use the canonical form https://CRAN.R-project.org/package=rstanarm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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