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 + file LICENSE
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

Documentation:

Reference manual:	brms.mmrm.html , brms.mmrm.pdf
Vignettes:	Informative prior archetypes (source) BCVA data comparison between Bayesian and frequentist MMRMs (source) FEV1 data comparison between Bayesian and frequentist MMRMs (source) Inference (source, R code) Model (source) Simulation-based calibration checking (source, R code) Simulation (source) Subgroup analysis (source) Usage (source)

Downloads:

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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