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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>.
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Package details |
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| Author | William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Kevin Kunzmann [aut] (<https://orcid.org/0000-0002-1140-7143>), Yoni Sidi [aut], Christian Stock [aut] (<https://orcid.org/0000-0002-3493-3234>), Eli Lilly and Company [cph, fnd], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd] |
| Maintainer | William Michael Landau <will.landau.oss@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.1.1 |
| URL | https://openpharma.github.io/brms.mmrm/ https://github.com/openpharma/brms.mmrm |
| Package repository | View on CRAN |
| Installation |
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