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>).
Version: 0.2.0 Depends: R (≥ 4.0.0) Imports: methods, stats, data.table (≥ 1.12.0), extraoperators (≥ 0.1.1), brms, bayestestR, Rcpp, posterior LinkingTo: RcppArmadillo, Rcpp Suggests: testthat (≥ 3.0.0), covr, withr, knitr, rmarkdown, margins, betareg Published: 2022-05-18 DOI: 10.32614/CRAN.package.brmsmargins Author: Joshua F. Wiley [aut, cre], Donald Hedeker [aut] Maintainer: Joshua F. Wiley <jwiley.psych at gmail.com> BugReports: https://github.com/JWiley/brmsmargins/issues License: GPL (≥ 3) URL: https://joshuawiley.com/brmsmargins/, https://github.com/JWiley/brmsmargins NeedsCompilation: yes Materials: README NEWS CRAN checks: brmsmargins results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=brmsmargins to link to this page.
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