The mixed model for repeated measures (MMRM) is a popular model for longitudinal clinical trial data with continuous endpoints, and 'brms' is a powerful and versatile package for fitting Bayesian regression models. The 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a simplified interfaced to reduce difficulty and align with the best practices of the life sciences. References: Bürkner (2017) <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008) <doi:10.1177/009286150804200402>.
Version: 1.1.1 Depends: R (≥ 4.0.0) Imports: brms (≥ 2.19.0), dplyr, ggplot2, ggridges, MASS, posterior, purrr, rlang, stats, tibble, tidyr, tidyselect, trialr, utils, zoo Suggests: BH, emmeans (≥ 1.8.7), fst, gt, gtsummary, knitr (≥ 1.30), markdown (≥ 1.1), mmrm, parallel, Rcpp, RcppEigen, RcppParallel, rmarkdown (≥ 2.4), rstan, StanHeaders, testthat (≥ 3.0.0) Published: 2024-10-02 DOI: 10.32614/CRAN.package.brms.mmrm Author: William Michael Landau [aut, cre], Kevin Kunzmann [aut], Yoni Sidi [aut], Christian Stock [aut], Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd] Maintainer: William Michael Landau <will.landau.oss at gmail.com> BugReports: https://github.com/openpharma/brms.mmrm/issues License: MIT + file LICENSE URL: https://openpharma.github.io/brms.mmrm/, https://github.com/openpharma/brms.mmrm NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: brms.mmrm results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=brms.mmrm to link to this page.
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