Package: brmsmargins 0.3.0

Joshua F. Wiley

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
brmsmargins_0.3.0.zip(r-4.7-x86_64)brmsmargins_0.3.0.zip(r-4.7-arm64)brmsmargins_0.3.0.zip(r-4.6-x86_64)brmsmargins_0.3.0.zip(r-4.6-arm64)
brmsmargins_0.3.0.tar.gz(r-4.7-arm64)brmsmargins_0.3.0.tar.gz(r-4.7-x86_64)brmsmargins_0.3.0.tar.gz(r-4.6-arm64)brmsmargins_0.3.0.tar.gz(r-4.6-x86_64)
brmsmargins_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
brmsmargins/json (API)

# Install 'brmsmargins' in R:
install.packages('brmsmargins', repos = c('https://cran.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

4.16 score 39 scripts 2.4k downloads 10 exports 83 dependencies

Last updated from:4ca4fbb3a3. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK175
linux-devel-x86_64OK222
source / vignettesOK325
linux-release-arm64OK175
linux-release-x86_64OK184
windows-devel-arm64OK300
windows-devel-x86_64OK192
windows-release-arm64OK288
windows-release-x86_64OK204
wasm-releaseOK165

Exports:brmsmarginsbsummaryintegratemvnintegratemvtintegraterelmcppmarginalcoefpredictionrowBootMeanstab2mat

Dependencies:abindbackportsbayesplotbayestestRBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11data.tabledatawizarddescdigestdistributionaldplyrextraoperatorsfarverfuturefuture.applygenericsggdistggplot2ggridgesglobalsgluegridExtragtableinlineinsightisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivotelparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr

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: 2026-04-06
Started: 2021-12-16

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: 2026-04-06
Started: 2021-12-16

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: 2026-04-06
Started: 2021-12-16