The mixed
model for repeated measures (MMRM) is a popular model for
longitudinal clinical trial data with continuous endpoints, and brms is powerful
and versatile package for fitting Bayesian regression models. The
brms.mmrm R package leverages brms to run MMRMs,
and it supports a simplified interface to reduce difficulty and align
with best practices for the life sciences.
| Type | Source | Command |
|---|---|---|
| Release | CRAN | install.packages("brms.mmrm") |
| Development | GitHub | remotes::install_github("openpharma/brms.mmrm") |
| Development | openpharma | install.packages("brms.mmrm", repos = "https://openpharma.r-universe.dev") |
The documentation website at https://openpharma.github.io/brms.mmrm/ has a complete function reference and tutorial vignettes.
To ensure the correctness of the model and its implementation, this
package has been validated using simulation-based calibration and
comparisons against the frequentist mmrm
package on two example datasets. The analyses and results are described
in the package vignettes linked below:
Notably, FEV1
and BCVA
are the same datasets that mmrm
uses to compare itself against SAS in this
vignette. For additional validation in your functional area or
domain of expertise, you may choose to run similar analyses on your own
datasets to compare brms.mmrm against mmrm
and/or SAS.
Please report questions and problems as GitHub discussions and GitHub issues, respectively.
Thanks to the openstatsware and
R Consortium for providing
professional networks to recruit skilled statisticians and
developers.
Please note that the brms.mmrm project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
To cite package 'brms.mmrm' in publications use:
Landau WM, Kunzmann K, Sidi Y, Stock C (????). _brms.mmrm: Bayesian
MMRMs using 'brms'_. R package version 1.1.0.9002,
<https://github.com/openpharma/brms.mmrm>.
A BibTeX entry for LaTeX users is
@Manual{,
title = {brms.mmrm: Bayesian MMRMs using 'brms'},
author = {William Michael Landau and Kevin Kunzmann and Yoni Sidi and Christian Stock},
note = {R package version 1.1.0.9002},
url = {https://github.com/openpharma/brms.mmrm},
}