Mixed Models for Repeated Measures R package mmrm version 0.3.18 CRAN Task View: ClinicalTrials (https://CRAN.R-project.org/view=ClinicalTrials) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) Mixed models for repeated measures (MMRM) are a popular choice for analyzing longitudinal continuous outcomes in randomized clinical trials and beyond; see Cnaan, Laird and Slasor (1997) <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E> for a tutorial and Mallinckrodt, Lane, Schnell, Peng and Mancuso (2008) <doi:10.1177/009286150804200402> for a review. This package implements MMRM based on the marginal linear model without random effects using Template Model Builder ('TMB') which enables fast and robust model fitting. Users can specify a variety of covariance matrices, weight observations, fit models with restricted or standard maximum likelihood inference, perform hypothesis testing with Satterthwaite or Kenward-Roger adjustment, and extract least square means estimates by using 'emmeans'. Software Depends: R (>= 4.1) Imports: checkmate (>= 2.0), generics, lifecycle, MASS, Matrix, methods, nlme, parallel, Rcpp, Rdpack, stats, stringr, tibble, TMB (>= 1.9.1), utils LinkingTo: Rcpp, RcppEigen, testthat, TMB (>= 1.9.1) Suggests: broom, broom.helpers, car (>= 3.1.2), cli, clubSandwich, clusterGeneration, dplyr, emmeans (>= 1.6), estimability, ggplot2, glmmTMB, hardhat, knitr, lme4, lmerTest, microbenchmark, mockery, parallelly (>= 1.32.0), parsnip (>= 1.1.0), purrr, rmarkdown, sasr, scales, testthat (>= 3.0.0), tidymodels, withr, xml2 Daniel Sabanes Bove <daniel.sabanes_bove@rconis.com> Comprehensive R Archive Network (CRAN) Daniel Sabanes Bove [aut, cre] (ORCID: <https://orcid.org/0000-0002-0176-9239>), Liming Li [aut] (ORCID: <https://orcid.org/0009-0008-6870-0878>), Julia Dedic [aut], Doug Kelkhoff [aut], Kevin Kunzmann [aut], Brian Matthew Lang [aut], Christian Stock [aut], Ya Wang [aut], Craig Gower-Page [ctb], Dan James [aut], Jonathan Sidi [aut], Daniel Leibovitz [aut], Daniel D. Sjoberg [aut] (ORCID: <https://orcid.org/0000-0003-0862-2018>), Nikolas Ivan Krieger [aut] (ORCID: <https://orcid.org/0000-0002-4581-3545>), Lukas A. Widmer [ctb] (ORCID: <https://orcid.org/0000-0003-1471-3493>), Arryn Panagos [aut] (ORCID: <https://orcid.org/0000-0003-0452-2095>), Jeremiah Jones [aut] (ORCID: <https://orcid.org/0000-0003-1239-2542>), Boehringer Ingelheim Ltd. [cph, fnd], Gilead Sciences, Inc. [cph, fnd], F. Hoffmann-La Roche AG [cph, fnd], Merck Sharp & Dohme, Inc. [cph, fnd], AstraZeneca plc [cph, fnd], inferential.biostatistics GmbH [cph, fnd] Apache License 2.0 2026-06-19 application/tgz https://CRAN.R-project.org/package=mmrm doi:10.32614/CRAN.package.mmrm en-US