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},
}