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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:	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 + fileLICENSE
URL:	https://openpharma.github.io/brms.mmrm/,https://github.com/openpharma/brms.mmrm
NeedsCompilation:	no
Language:	en-US
Materials:	README,NEWS
In views:	ClinicalTrials
CRAN checks:	brms.mmrm results

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