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.
- Version1.1.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release10/02/2024
Documentation
- VignetteInformative prior archetypes
- VignetteBCVA data comparison between Bayesian and frequentist MMRMs
- VignetteFEV1 data comparison between Bayesian and frequentist MMRMs
- VignetteInference
- VignetteModel
- VignetteSimulation-based calibration checking
- VignetteSimulation
- VignetteSubgroup analysis
- VignetteUsage
- MaterialREADME
- MaterialNEWS
Team
William Michael Landau
MaintainerShow author detailsChristian Stock
Show author detailsRolesAuthorKevin Kunzmann
Show author detailsRolesAuthorBoehringer Ingelheim Pharma GmbH & Co. KG
Show author detailsRolesCopyright holder, fndEli Lilly and Company
Show author detailsRolesCopyright holder, fndYoni Sidi
Show author detailsRolesAuthor
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