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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 |
Package source: | brms.mmrm_1.1.1.tar.gz |
Windows binaries: | r-devel: brms.mmrm_1.1.1.zip, r-release: brms.mmrm_1.1.1.zip, r-oldrel: brms.mmrm_1.1.1.zip |
macOS binaries: | r-release (arm64): brms.mmrm_1.1.1.tgz, r-oldrel (arm64): brms.mmrm_1.1.1.tgz, r-release (x86_64): brms.mmrm_1.1.1.tgz, r-oldrel (x86_64): brms.mmrm_1.1.1.tgz |
Old sources: | brms.mmrm archive |
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These binaries (installable software) and packages are in development.
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