DESCRIPTION

Type: Package
Package: mmrm
Title: Mixed Models for Repeated Measures
Version: 0.3.14.9001
Authors@R: c(
    person("Daniel", "Sabanes Bove", , "daniel.sabanes_bove@rconis.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-0176-9239")),
    person("Liming", "Li", , "liming.li@roche.com", role = "aut"),
    person("Julia", "Dedic", , "julia.dedic@roche.com", role = "aut"),
    person("Doug", "Kelkhoff", , "doug.kelkhoff@roche.com", role = "aut"),
    person("Kevin", "Kunzmann", , "kevin.kunzmann@boehringer-ingelheim.com", role = "aut"),
    person("Brian Matthew", "Lang", , "brian.lang@msd.com", role = "aut"),
    person("Christian", "Stock", , "christian.stock@boehringer-ingelheim.com", role = "aut"),
    person("Ya", "Wang", , "ya.wang10@gilead.com", role = "aut"),
    person("Craig", "Gower-Page", , "craig.gower-page@roche.com", role = "ctb"),
    person("Dan", "James", , "dan.james@astrazeneca.com", role = "aut"),
    person("Jonathan", "Sidi", , "yoni@pinpointstrategies.io", role = "aut"),
    person("Daniel", "Leibovitz", , "daniel.leibovitz@roche.com", role = "aut"),
    person("Daniel D.", "Sjoberg", , "sjobergd@gene.com", role = "aut",
           comment = c(ORCID = "0000-0003-0862-2018")),
    person("Lukas A.", "Widmer", role = "ctb",
           comment = c(ORCID = "0000-0003-1471-3493")),
    person("Boehringer Ingelheim Ltd.", role = c("cph", "fnd")),
    person("Gilead Sciences, Inc.", role = c("cph", "fnd")),
    person("F. Hoffmann-La Roche AG", role = c("cph", "fnd")),
    person("Merck Sharp & Dohme, Inc.", role = c("cph", "fnd")),
    person("AstraZeneca plc", role = c("cph", "fnd")),
    person("inferential.biostatistics GmbH", role = c("cph", "fnd"))
  )
Description: 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'.
License: Apache License 2.0
URL: https://openpharma.github.io/mmrm/
BugReports: https://github.com/openpharma/mmrm/issues
Depends:
    R (>= 4.0)
Imports:
    checkmate (>= 2.0),
    generics,
    lifecycle,
    Matrix,
    methods,
    nlme,
    parallel,
    Rcpp,
    Rdpack,
    stats,
    stringr,
    tibble,
    TMB (>= 1.9.1),
    utils
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
LinkingTo:
    Rcpp,
    RcppEigen,
    testthat,
    TMB (>= 1.9.1)
VignetteBuilder:
    knitr
RdMacros:
    Rdpack
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Collate:
    'between-within.R'
    'catch-routine-registration.R'
    'component.R'
    'cov_struct.R'
    'data.R'
    'empirical.R'
    'fit.R'
    'kenwardroger.R'
    'mmrm-methods.R'
    'mmrm-package.R'
    'utils.R'
    'residual.R'
    'utils-nse.R'
    'utils-formula.R'
    'satterthwaite.R'
    'skipping.R'
    'tidiers.R'
    'testing.R'
    'tmb-methods.R'
    'tmb.R'
    'interop-emmeans.R'
    'interop-parsnip.R'
    'interop-car.R'
    'zzz.R'