Package: brmsmargins 0.3.0

brmsmargins: Bayesian Marginal Effects for 'brms' Models

Calculate Bayesian marginal effects, average marginal effects, and marginal coefficients (also called population averaged coefficients) for models fit using the 'brms' package including fixed effects, mixed effects, and location scale models. These are based on marginal predictions that integrate out random effects if necessary (see for example <doi:10.1186/s12874-015-0046-6> and <doi:10.1111/biom.12707>).

Authors:Joshua F. Wiley [aut, cre], Donald Hedeker [aut]

brmsmargins_0.3.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
brmsmargins/json (API)

# Install 'brmsmargins' in R:
install.packages('brmsmargins', repos = c('https://jwiley.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jwiley/brmsmargins/issues

Pkgdown/docs site:https://joshuawiley.com

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblascppopenmp

7.48 score 20 stars 55 scripts 2.6k downloads 10 exports 81 dependencies

Last updated from:1850d2dfa4. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK246
linux-devel-x86_64OK227
source / vignettesOK294
linux-release-arm64OK222
linux-release-x86_64OK248
macos-release-arm64OK222
macos-release-x86_64OK246
macos-oldrel-arm64OK184
macos-oldrel-x86_64OK385
windows-develOK218
windows-releaseOK203
windows-oldrelOK190
wasm-releaseOK194

Exports:brmsmarginsbsummaryintegratemvnintegratemvtintegraterelmcppmarginalcoefpredictionrowBootMeanstab2mat

Dependencies:abindbackportsbayesplotbayestestRBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11data.tabledatawizarddescdigestdistributionaldplyrextraoperatorsfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineinsightisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivotelparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

Marginal Effects for Fixed Effects Models
What are marginal effects? | Average Marginal Effect (AME) | AMEs for Logistic Regression | AMEs for Poisson Regression | AMEs for Negative Binomial Regression | AMEs for Binomial Regression | References
Rendered fromfixed-effects-marginaleffects.Rmdusingknitr::rmarkdown

Last update: 2026-04-03
Started: 2021-11-26

Marginal Effects for Location Scale Models
AMEs for Fixed Effects Location Scale Models | AMEs for Mixed Effects Location Scale Models
Rendered fromlocation-scale-marginaleffects.Rmdusingknitr::rmarkdown

Last update: 2026-04-03
Started: 2021-11-28

Marginal Effects for Mixed Effects Models
Integrating out Random Effects | Using brmsmargins() | Mixed Effects Logistic Regression | AMEs | Marginal Coefficients | Mixed Effects Poisson Regression | Mixed Effects Negative Binomial Regression | Mixed Effects Binomial Regression | Centered Categorical Predictors | Interactions and Marginal Effects | References
Rendered frommixed-effects-marginaleffects.Rmdusingknitr::rmarkdown

Last update: 2026-04-03
Started: 2021-11-26