Package: brmsmargins 0.2.0

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]

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

On CRAN:

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Last updated 2 years agofrom:e1a757de2a. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:brmsmarginsbsummaryintegratemvnintegraterelmcppmarginalcoefpredictionrowBootMeanstab2mat

Dependencies:abindbackportsbayesplotbayestestRBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscolorspacedata.tabledatawizarddescdigestdistributionaldplyrextraoperatorsfansifarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineinsightisobandlabelinglatticelifecyclelistenvloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnleqslvnlmenumDerivparallellypillarpkgbuildpkgconfigplyrposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreshape2rlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr