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'.
| Version: | 
0.3.15 | 
| Depends: | 
R (≥ 4.1) | 
| Imports: | 
checkmate (≥ 2.0), generics, lifecycle, Matrix, methods, nlme, parallel, Rcpp, Rdpack, stats, stringr, tibble, TMB (≥
1.9.1), utils | 
| LinkingTo: | 
Rcpp, RcppEigen, testthat, TMB (≥ 1.9.1) | 
| Suggests: | 
broom.helpers, car (≥ 3.1.2), cli, clubSandwich, clusterGeneration, dplyr, emmeans (≥ 1.6), estimability, ggplot2, glmmTMB, hardhat, knitr, lme4, MASS, microbenchmark, mockery, parallelly (≥ 1.32.0), parsnip (≥ 1.1.0), purrr, rmarkdown, sasr, scales, testthat (≥ 3.0.0), tidymodels, withr, xml2 | 
| Published: | 
2025-06-10 | 
| DOI: | 
10.32614/CRAN.package.mmrm | 
| Author: | 
Daniel Sabanes Bove
      [aut, cre],
  Liming Li   [aut],
  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],
  Nikolas Ivan Krieger
      [aut],
  Lukas A. Widmer  
    [ctb],
  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] | 
| Maintainer: | 
Daniel Sabanes Bove  <daniel.sabanes_bove at rconis.com> | 
| BugReports: | 
https://github.com/openpharma/mmrm/issues | 
| License: | 
Apache License 2.0 | 
| URL: | 
https://openpharma.github.io/mmrm/ | 
| NeedsCompilation: | 
yes | 
| Language: | 
en-US | 
| Materials: | 
NEWS  | 
| In views: | 
ClinicalTrials, MixedModels | 
| CRAN checks: | 
mmrm results |