brms.mmrm: Bayesian MMRMs using 'brms'
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: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | brms (≥ 2.19.0), coda, dplyr, emmeans (≥ 1.8.7), ggplot2, ggridges, MASS, posterior, purrr, rlang, stats, tibble, tidyr, tidyselect, trialr, utils, zoo |
| Suggests: | BH, fst, gt, gtsummary, knitr (≥ 1.30), markdown (≥ 1.1), mmrm, parallel, Rcpp, RcppEigen, RcppParallel, rmarkdown (≥ 2.4), rstan, StanHeaders, testthat (≥ 3.0.0) |
| Published: | 2024-02-15 |
| 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:
| Package source: | brms.mmrm_0.1.0.tar.gz |
| Windows binaries: | r-devel: brms.mmrm_0.1.0.zip, r-release: brms.mmrm_0.1.0.zip, r-oldrel: brms.mmrm_0.1.0.zip |
| macOS binaries: | r-release (arm64): brms.mmrm_0.1.0.tgz, r-oldrel (arm64): brms.mmrm_0.1.0.tgz, r-release (x86_64): brms.mmrm_0.1.0.tgz, r-oldrel (x86_64): brms.mmrm_0.1.0.tgz |
| Old sources: | brms.mmrm archive |
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