Bayesian MMRMs using 'brms' R package brms.mmrm version 1.1.1 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) 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>. Software 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) William Michael Landau <will.landau.oss@gmail.com> Comprehensive R Archive Network (CRAN) William Michael Landau [aut, cre] (ORCID: <https://orcid.org/0000-0003-1878-3253>), Kevin Kunzmann [aut] (ORCID: <https://orcid.org/0000-0002-1140-7143>), Yoni Sidi [aut], Christian Stock [aut] (ORCID: <https://orcid.org/0000-0002-3493-3234>), Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=brms.mmrm/LICENSE) 2024-10-02 application/tgz https://CRAN.R-project.org/package=brms.mmrm doi:10.32614/CRAN.package.brms.mmrm en-US