rstanarm

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / rstanarm

rstanarm

v2.32.2
rstanarm
Repository CRANLicense GPL (>= 3)Lifecycle activeNeeds compilation yes
Package pageReferenceSourceDOINEWS
DOI
10.32614/CRAN.package.rstanarm
Task views
Bayesian Inference, Mixed, Multilevel, and Hierarchical Models in R, Survival Analysis
Reverse imports
354
Reverse depends
76

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

3
Task views
Bayesian Inference, Mixed, Multilevel, and Hierarchical Models in R, Survival Analysis
Reverse imports
354
Reverse depends
76

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

1
D
data.table
Suggests

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile
Repository
CRAN
Version
2.32.2
License
GPL (>= 3)
Lifecycle
active
Needs compilation
yes
Reverse depends
76
Reverse imports
354
Last observed
2026-05-30
CRAN
cran.r-project.org/package=rstanarm

Build fields

LinkingTo
6
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)

수집 소스별 패키지 정보

1개 소스
CRAN
2.32.2
2026-05-30
License
GPL (>= 3)
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, reformulas
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
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)
Needs compilation
yes
Reverse depends
76
Reverse imports
354
Lifecycle
active
Last observed
2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 39개
PackageTypeSpec
methods
CRAN · 2.32.2 · 2026-05-30
Dependsmethods
Rcpp
CRAN · 2.32.2 · 2026-05-30
DependsRcpp (>= 0.12.0)
bayesplot
CRAN · 2.32.2 · 2026-05-30
Importsbayesplot (>= 1.7.0)
ggplot2
CRAN · 2.32.2 · 2026-05-30
Importsggplot2 (>= 2.2.1)
lme4
CRAN · 2.32.2 · 2026-05-30
Importslme4 (>= 1.1-8)
1 / 8

이 패키지를 쓰는 패키지

5개 표시전체 55개
PackageTypeSpec
AuxSurvey
1.1
CRAN · 2026-05-30
Dependsrstanarm
fbst
2.2
CRAN · 2026-05-30
Dependsrstanarm
BayesERtools
0.2.5
CRAN · 2026-05-30
Importsrstanarm
bayesrules
0.0.3
CRAN · 2026-05-30
Importsrstanarm
IRexamples
0.0.4
CRAN · 2026-05-30
Importsrstanarm
1 / 11

Reverse dependency summary

4 types
TypePackages
Depends2
Imports9
Suggests41
Enhances3

패키지 페이지

Reverse depends
4
Reverse imports
18
Reverse suggests
82
Reverse enhances
6
All links
152
Repository
CRAN
Version
2.32.2
Collected
2026-05-17 11:22:20
Package page
https://cran.r-project.org/web/packages/rstanarm/index.html
DOI
10.32614/CRAN.package.rstanarm
Citation
https://cran.r-project.org/web/packages/rstanarm/citation.html
CRAN checks
https://cran.r-project.org/web/checks/check_results_rstanarm.html
NEWS
https://cran.r-project.org/web/packages/rstanarm/news/news.html
Reference HTML
https://cran.r-project.org/web/packages/rstanarm/refman/rstanarm.html
Reference PDF
https://cran.r-project.org/web/packages/rstanarm/rstanarm.pdf
Source package
https://cran.r-project.org/src/contrib/rstanarm_2.32.2.tar.gz
Archive
https://CRAN.R-project.org/src/contrib/Archive/rstanarm
In views
BayesianMixedModelsSurvival
Page fields
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]
BugReports
https://github.com/stan-dev/rstanarm/issues
CRAN Checks
rstanarm results
Citation
rstanarm citation info
DOI
10.32614/CRAN.package.rstanarm
In Views
Bayesian , MixedModels , Survival
License
GPL (≥ 3)
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)
Maintainer
Ben Goodrich <benjamin.goodrich at columbia.edu>
Materials
NEWS
NeedsCompilation
yes
Old Sources
rstanarm archive
Package Source
rstanarm_2.32.2.tar.gz
Published
2025-09-30
Reference Manual
rstanarm.html , rstanarm.pdf
Reverse Depends
AuxSurvey , fbst
Reverse Enhances
emmeans , interactions , jtools
Reverse Imports
BayesERtools , bayesrules , IRexamples , JMbdirect , jmBIG , outstandR , SIMPLE.REGRESSION , tidyposterior , webSDM
Reverse Suggests
afex , bayesDiagnostics , bayesics , bayesMeanScale , bayesplot , BayesPostEst , bayestestR , bridgesampling , broom.helpers , broom.mixed , CLRtools , conformalbayes , correlation , datawizard , effectsize , embed , fastml , ggeffects , INLAjoint , insight , loo , marginaleffects , merTools , modelbased , modelsummary , orbital , parameters , performance , poissonreg , projpred , RBesT , rdss , report , SAMprior , see , shinybrms , shinystan , sjPlot , tidyAML , tidybayes , valueprhr
SystemRequirements
GNU make, pandoc (>= 1.12.3), pandoc-citeproc
URL
https://mc-stan.org/rstanarm/ , https://discourse.mc-stan.org
Version
2.32.2
Vignettes
Probabilistic A/B Testing with rstanarm ( source , R code ) stan_aov: ANOVA Models ( source , R code ) stan_betareg: Models for Rate/Proportion Data ( source , R code ) stan_glm: GLMs for Binary and Binomial Data ( source , R code ) stan_glm: GLMs for Continuous Data ( source , R code ) stan_glm: GLMs for Count Data ( source , R code ) stan_glmer: GLMs with Group-Specific Terms ( source , R code ) stan_jm: Joint Models for Longitudinal and Time-to-Event Data ( source , R code ) stan_lm: Regularized Linear Models ( source , R code ) MRP with rstanarm ( source , R code ) stan_polr: Ordinal Models ( source , R code ) Hierarchical Partial Pooling ( source , R code ) Prior Distributions ( source , R code ) How to Use the rstanarm Package ( source , R code )
Windows Binaries
r-devel: rstanarm_2.32.2.zip , r-release: rstanarm_2.32.2.zip , r-oldrel: rstanarm_2.32.2.zip
MacOS Binaries
r-release (arm64): rstanarm_2.32.2.tgz , r-oldrel (arm64): rstanarm_2.32.2.tgz , r-release (x86_64): rstanarm_2.32.2.tgz , r-oldrel (x86_64): rstanarm_2.32.2.tgz
Version
2.32.2
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)
StanHeadersrstanBHRcppRcppEigenRcppParallel
Published
2025-09-30
DOI
10.32614/CRAN.package.rstanarm
10.32614/CRAN.package.rstanarm
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
https://github.com/stan-dev/rstanarm/issues
License
GPL (≥ 3)
GPL (≥ 3)
URL
https://mc-stan.org/rstanarm/ , https://discourse.mc-stan.org
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
rstanarm citation info
Materials
NEWS
NEWS
In Views
Bayesian , MixedModels , Survival
BayesianMixedModelsSurvival
CRAN Checks
rstanarm results
rstanarm results
Reference Manual
rstanarm.html , rstanarm.pdf
rstanarm.htmlrstanarm.pdf
Vignettes
Probabilistic A/B Testing with rstanarm ( source , R code ) stan_aov: ANOVA Models ( source , R code ) stan_betareg: Models for Rate/Proportion Data ( source , R code ) stan_glm: GLMs for Binary and Binomial Data ( source , R code ) stan_glm: GLMs for Continuous Data ( source , R code ) stan_glm: GLMs for Count Data ( source , R code ) stan_glmer: GLMs with Group-Specific Terms ( source , R code ) stan_jm: Joint Models for Longitudinal and Time-to-Event Data ( source , R code ) stan_lm: Regularized Linear Models ( source , R code ) MRP with rstanarm ( source , R code ) stan_polr: Ordinal Models ( source , R code ) Hierarchical Partial Pooling ( source , R code ) Prior Distributions ( source , R code ) How to Use the rstanarm Package ( source , R code )
Probabilistic A/B Testing with rstanarmsourceR codestan_aov: ANOVA ModelssourceR codestan_betareg: Models for Rate/Proportion DatasourceR codestan_glm: GLMs for Binary and Binomial DatasourceR codestan_glm: GLMs for Continuous DatasourceR codestan_glm: GLMs for Count DatasourceR codestan_glmer: GLMs with Group-Specific Termssource
Package Source
rstanarm_2.32.2.tar.gz
rstanarm_2.32.2.tar.gz
Windows Binaries
r-devel: rstanarm_2.32.2.zip , r-release: rstanarm_2.32.2.zip , r-oldrel: rstanarm_2.32.2.zip
rstanarm_2.32.2.ziprstanarm_2.32.2.ziprstanarm_2.32.2.zip
MacOS Binaries
r-release (arm64): rstanarm_2.32.2.tgz , r-oldrel (arm64): rstanarm_2.32.2.tgz , r-release (x86_64): rstanarm_2.32.2.tgz , r-oldrel (x86_64): rstanarm_2.32.2.tgz
rstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgz
Old Sources
rstanarm archive
rstanarm archive
Reverse Depends
AuxSurvey , fbst
AuxSurveyfbst
Reverse Imports
BayesERtools , bayesrules , IRexamples , JMbdirect , jmBIG , outstandR , SIMPLE.REGRESSION , tidyposterior , webSDM
BayesERtoolsbayesrulesIRexamplesJMbdirectjmBIGoutstandRSIMPLE.REGRESSIONtidyposteriorwebSDM
Reverse Suggests
afex , bayesDiagnostics , bayesics , bayesMeanScale , bayesplot , BayesPostEst , bayestestR , bridgesampling , broom.helpers , broom.mixed , CLRtools , conformalbayes , correlation , datawizard , effectsize , embed , fastml , ggeffects , INLAjoint , insight , loo , marginaleffects , merTools , modelbased , modelsummary , orbital , parameters , performance , poissonreg , projpred , RBesT , rdss , report , SAMprior , see , shinybrms , shinystan , sjPlot , tidyAML , tidybayes , valueprhr
afexbayesDiagnosticsbayesicsbayesMeanScalebayesplotBayesPostEstbayestestRbridgesamplingbroom.helpersbroom.mixedCLRtoolsconformalbayescorrelationdatawizardeffectsizeembedfastmlggeffectsINLAjointinsight
Reverse Enhances
emmeans , interactions , jtools
emmeansinteractionsjtools
Page sections 4
Documentation
Heading
Documentation
Links
[{"label":"rstanarm.html","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/refman/rstanarm.html"},{"label":"rstanarm.pdf","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/rstanarm.pdf"},{"label":"Probabilistic A/B Testing with rstanarm","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/ab-testing.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/ab-testing.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/ab-testing.R"},{"label":"stan_aov: ANOVA Models","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/aov.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/aov.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/aov.R"},{"label":"stan_betareg: Models for Rate/Proportion Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/betareg.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/betareg.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/betareg.R"},{"label":"stan_glm: GLMs for Binary and Binomial Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/binomial.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/binomial.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/binomial.R"},{"label":"stan_glm: GLMs for Continuous Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/continuous.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/continuous.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/continuous.R"},{"label":"stan_glm: GLMs for Count Data","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/count.html"},{"label":"source","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/count.Rmd"},{"label":"R code","section":"","type":"","url":"https://cran.r-project.org/web/packages/rstanarm/vignettes/count.R"}]
Text
Reference manual: rstanarm.html , rstanarm.pdf Vignettes: Probabilistic A/B Testing with rstanarm ( source , R code ) stan_aov: ANOVA Models ( source , R code ) stan_betareg: Models for Rate/Proportion Data ( source , R code ) stan_glm: GLMs for Binary and Binomial Data ( source , R code ) stan_glm: GLMs for Continuous Data ( source , R code ) stan_glm: GLMs for Count Data ( source , R code ) stan_glmer: GLMs with Group-Specific Terms ( source , R code ) stan_jm: Joint Models for Longitudinal and Time-to-Event Data ( source , R code ) stan_lm: Regularized Linear Models ( source , R code ) MRP with rstanarm ( source , R code ) stan_polr: Ordinal Models ( source , R code ) Hierarchical Partial Pooling ( source , R code ) Prior Distributions ( source , R code ) How to Use the rstanarm Package ( source , R code )
Downloads
Heading
Downloads
Links
[{"label":"rstanarm_2.32.2.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/rstanarm_2.32.2.tar.gz"},{"label":"rstanarm_2.32.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/rstanarm_2.32.2.zip"},{"label":"rstanarm_2.32.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/rstanarm_2.32.2.zip"},{"label":"rstanarm_2.32.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/rstanarm_2.32.2.zip"},{"label":"rstanarm_2.32.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/rstanarm_2.32.2.tgz"},{"label":"rstanarm_2.32.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/rstanarm_2.32.2.tgz"},{"label":"rstanarm_2.32.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/rstanarm_2.32.2.tgz"},{"label":"rstanarm_2.32.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/rstanarm_2.32.2.tgz"},{"label":"rstanarm archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/rstanarm"}]
Text
Package source: rstanarm_2.32.2.tar.gz Windows binaries: r-devel: rstanarm_2.32.2.zip , r-release: rstanarm_2.32.2.zip , r-oldrel: rstanarm_2.32.2.zip macOS binaries: r-release (arm64): rstanarm_2.32.2.tgz , r-oldrel (arm64): rstanarm_2.32.2.tgz , r-release (x86_64): rstanarm_2.32.2.tgz , r-oldrel (x86_64): rstanarm_2.32.2.tgz Old sources: rstanarm archive
Reverse dependencies
Heading
Reverse dependencies
Links
[{"label":"AuxSurvey","section":"","type":"","url":"https://cran.r-project.org/web/packages/AuxSurvey/index.html"},{"label":"fbst","section":"","type":"","url":"https://cran.r-project.org/web/packages/fbst/index.html"},{"label":"BayesERtools","section":"","type":"","url":"https://cran.r-project.org/web/packages/BayesERtools/index.html"},{"label":"bayesrules","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesrules/index.html"},{"label":"IRexamples","section":"","type":"","url":"https://cran.r-project.org/web/packages/IRexamples/index.html"},{"label":"JMbdirect","section":"","type":"","url":"https://cran.r-project.org/web/packages/JMbdirect/index.html"},{"label":"jmBIG","section":"","type":"","url":"https://cran.r-project.org/web/packages/jmBIG/index.html"},{"label":"outstandR","section":"","type":"","url":"https://cran.r-project.org/web/packages/outstandR/index.html"},{"label":"SIMPLE.REGRESSION","section":"","type":"","url":"https://cran.r-project.org/web/packages/SIMPLE.REGRESSION/index.html"},{"label":"tidyposterior","section":"","type":"","url":"https://cran.r-project.org/web/packages/tidyposterior/index.html"},{"label":"webSDM","section":"","type":"","url":"https://cran.r-project.org/web/packages/webSDM/index.html"},{"label":"afex","section":"","type":"","url":"https://cran.r-project.org/web/packages/afex/index.html"},{"label":"bayesDiagnostics","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesDiagnostics/index.html"},{"label":"bayesics","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesics/index.html"},{"label":"bayesMeanScale","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesMeanScale/index.html"},{"label":"bayesplot","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayesplot/index.html"},{"label":"BayesPostEst","section":"","type":"","url":"https://cran.r-project.org/web/packages/BayesPostEst/index.html"},{"label":"bayestestR","section":"","type":"","url":"https://cran.r-project.org/web/packages/bayestestR/index.html"},{"label":"bridgesampling","section":"","type":"","url":"https://cran.r-project.org/web/packages/bridgesampling/index.html"},{"label":"broom.helpers","section":"","type":"","url":"https://cran.r-project.org/web/packages/broom.helpers/index.html"}]
Text
Reverse depends: AuxSurvey , fbst Reverse imports: BayesERtools , bayesrules , IRexamples , JMbdirect , jmBIG , outstandR , SIMPLE.REGRESSION , tidyposterior , webSDM Reverse suggests: afex , bayesDiagnostics , bayesics , bayesMeanScale , bayesplot , BayesPostEst , bayestestR , bridgesampling , broom.helpers , broom.mixed , CLRtools , conformalbayes , correlation , datawizard , effectsize , embed , fastml , ggeffects , INLAjoint , insight , loo , marginaleffects , merTools , modelbased , modelsummary , orbital , parameters , performance , poissonreg , projpred , RBesT , rdss , report , SAMprior , see , shinybrms , shinystan , sjPlot , tidyAML , tidybayes , valueprhr Reverse enhances: emmeans , interactions , jtools
Linking
Heading
Linking
Links
[{"label":"https://CRAN.R-project.org/package=rstanarm","section":"","type":"","url":"https://CRAN.R-project.org/package=rstanarm"}]
Text
Please use the canonical form https://CRAN.R-project.org/package=rstanarm to link to this page.
Materials 1
NEWS
Documentation 44
rstanarm.htmlrstanarm.pdfProbabilistic A/B Testing with rstanarmsourceR codestan_aov: ANOVA ModelssourceR codestan_betareg: Models for Rate/Proportion DatasourceR codestan_glm: GLMs for Binary and Binomial DatasourceR codestan_glm: GLMs for Continuous DatasourceR codestan_glm: GLMs for Count DatasourceR codestan_glmer: GLMs with Group-Specific TermssourceR codestan_jm: Joint Models for Longitudinal and Time-to-Event DatasourceR codestan_lm: Regularized Linear ModelssourceR codeMRP with rstanarmsourceR codestan_polr: Ordinal ModelssourceR codeHierarchical Partial PoolingsourceR codePrior DistributionssourceR codeHow to Use the rstanarm PackagesourceR code
Vignettes 42
Probabilistic A/B Testing with rstanarmsourceR codestan_aov: ANOVA ModelssourceR codestan_betareg: Models for Rate/Proportion DatasourceR codestan_glm: GLMs for Binary and Binomial DatasourceR codestan_glm: GLMs for Continuous DatasourceR codestan_glm: GLMs for Count DatasourceR codestan_glmer: GLMs with Group-Specific TermssourceR codestan_jm: Joint Models for Longitudinal and Time-to-Event DatasourceR codestan_lm: Regularized Linear ModelssourceR codeMRP with rstanarmsourceR codestan_polr: Ordinal ModelssourceR codeHierarchical Partial PoolingsourceR codePrior DistributionssourceR codeHow to Use the rstanarm PackagesourceR code
Downloads 9
rstanarm_2.32.2.tar.gzrstanarm_2.32.2.ziprstanarm_2.32.2.ziprstanarm_2.32.2.ziprstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm archive
All page links 120
Rcppmethodsbayesplotggplot2lme4looMatrixnlmeposteriorrstanrstantoolsshinystanstatssurvivalRcppParallelutilsreformulasStanHeadersBHRcppEigenbiglmbetaregdata.tabledigestgridExtraHSAUR3knitrMASSmgcvrmarkdownroxygen2testthatgamm4shinyV810.32614/CRAN.package.rstanarmhttps://github.com/stan-dev/rstanarm/issuesGPL (≥ 3)https://mc-stan.org/rstanarm/https://discourse.mc-stan.orgrstanarm citation infoNEWSBayesianMixedModelsSurvivalrstanarm resultsrstanarm.htmlrstanarm.pdfProbabilistic A/B Testing with rstanarmsourceR codestan_aov: ANOVA ModelssourceR codestan_betareg: Models for Rate/Proportion DatasourceR codestan_glm: GLMs for Binary and Binomial DatasourceR codestan_glm: GLMs for Continuous DatasourceR codestan_glm: GLMs for Count DatasourceR codestan_glmer: GLMs with Group-Specific Termssourcerstanarm_2.32.2.tar.gzrstanarm_2.32.2.ziprstanarm_2.32.2.ziprstanarm_2.32.2.ziprstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm_2.32.2.tgzrstanarm archiveAuxSurveyfbstBayesERtoolsbayesrulesIRexamplesJMbdirectjmBIGoutstandRSIMPLE.REGRESSIONtidyposteriorwebSDMafexbayesDiagnosticsbayesicsbayesMeanScaleBayesPostEstbayestestRbridgesamplingbroom.helpersbroom.mixedCLRtoolsconformalbayescorrelationdatawizardeffectsizeembedfastmlggeffectsINLAjointinsightemmeansinteractionsjtoolsR codestan_jm: Joint Models for Longitudinal and Time-to-Event DatasourceR codestan_lm: Regularized Linear ModelssourceR codeMRP with rstanarmsourceR code

버전 이력

RepositoryVersionPublishedFirst seenLast seenDocs
CRAN2.32.22026-05-292026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Bayesian Inference · 2026-05-30Mixed, Multilevel, and Hierarchical Models in R · 2026-05-30Survival Analysis · 2026-05-30