Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see for example Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>. This package provides an interface for fitting MMRM within the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu et al. (2023) and tabulate results easily using 'rtables' <https://cran.r-project.org/package=rtables> by Becker et al. (2023). It builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové et al. (2023) for the actual MMRM computations.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.6), tern (≥ 0.9.3) |
| Imports: | checkmate, cowplot, dplyr, emmeans (≥ 1.6), formatters (≥ 0.5.5), generics, ggplot2, lifecycle, magrittr, mmrm (≥ 0.3.5), parallelly, rlang, rtables (≥ 0.6.6), stats, tidyr |
| Suggests: | broom, grid, knitr, maditr, Matrix, rmarkdown, testthat (≥ 3.1), vdiffr |
| Published: | 2023-12-14 |
| Author: | Daniel Sabanés Bové [aut, cre], Godwin Yung [aut], Francois Collin [aut], Julia Dedic [aut], Jana Stoilova [aut], Joe Zhu [aut], F. Hoffmann-La Roche AG [cph, fnd] |
| Maintainer: | Daniel Sabanés Bové <daniel.sabanes_bove at roche.com> |
| BugReports: | https://github.com/insightsengineering/tern.mmrm/issues |
| License: | Apache License 2.0 |
| URL: | https://github.com/insightsengineering/tern.mmrm, https://insightsengineering.github.io/tern.mmrm/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | tern.mmrm results |
| Reference manual: | tern.mmrm.pdf |
| Vignettes: |
Introduction to tern.mmrm |
| Package source: | tern.mmrm_0.3.0.tar.gz |
| Windows binaries: | r-devel: tern.mmrm_0.3.0.zip, r-release: tern.mmrm_0.3.0.zip, r-oldrel: tern.mmrm_0.3.0.zip |
| macOS binaries: | r-release (arm64): tern.mmrm_0.3.0.tgz, r-oldrel (arm64): tern.mmrm_0.3.0.tgz, r-release (x86_64): tern.mmrm_0.3.0.tgz, r-oldrel (x86_64): tern.mmrm_0.3.0.tgz |
| Reverse imports: | teal.modules.clinical |
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