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: 0.0.2
Depends: R (≥ 4.0.0)
Imports: brms, coda, dplyr, emmeans (≥ 1.8.7), ggplot2, ggridges, MASS, posterior, purrr, rlang, stats, tibble, tidyr, tidyselect, trialr, utils, zoo
Suggests: BH, knitr (≥ 1.30), markdown (≥ 1.1), Rcpp, RcppEigen, RcppParallel, rmarkdown (≥ 2.4), rstan, StanHeaders, testthat (≥ 3.0.0)
Published: 2023-08-18
Author: William Michael Landau ORCID iD [aut, cre], Kevin Kunzmann ORCID iD [aut], Yoni Sidi [aut], Christian Stock ORCID iD [aut], Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]
Maintainer: William Michael Landau <will.landau at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: brms.mmrm results


Reference manual: brms.mmrm.pdf
Vignettes: methods


Package source: brms.mmrm_0.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): brms.mmrm_0.0.2.tgz, r-oldrel (arm64): brms.mmrm_0.0.2.tgz, r-release (x86_64): brms.mmrm_0.0.2.tgz, r-oldrel (x86_64): brms.mmrm_0.0.2.tgz


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