Package: GrowthCurveME
Title: Mixed-Effects Modeling for Growth Data
Version: 0.1.11.9000
Authors@R: c(
    person(given = "Anand", family = "Panigrahy", 
    email = "anand_panigrahy@dfci.harvard.edu", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2130-2089")),
    person(given = "Sonam", family = "Bhatia", 
    email = "sonam_bhatia@dfci.harvard.edu", 
    role = "ctb", comment = c(ORCID = "0000-0002-0124-2621")),
    person(given = "Thomas", family = "Quinn",
    email = "thomasw_quinn@dfci.harvard.edu", role = "dtc"),
    person(given = "Aniket", family = "Shetty",
    email = "aniket_shetty@dfci.harvard.edu", role = "rev"),
    person(given = "Keith", family = "Ligon", 
    email = "keith_ligon@dfci.harvard.edu", 
    role = "fnd", comment = c(ORCID = "0000-0002-7733-600X")),
    person(given = "Center for Patient-Derived Models", 
    family = "Dana-Farber Cancer Institute", 
    email = "models@dfci.harvard.edu", role = "cph"))
Description: Simple and user-friendly wrappers to the 'saemix' package
        for performing linear and non-linear mixed-effects regression
        modeling for growth data to account for clustering or
        longitudinal analysis via repeated measurements. The package
        allows users to fit a variety of growth models, including
        linear, exponential, logistic, and 'Gompertz' functions. For
        non-linear models, starting values are automatically calculated
        using initial least-squares estimates. The package includes
        functions for summarizing models, visualizing data and results,
        calculating doubling time and other key statistics, and
        generating model diagnostic plots and residual summary
        statistics. It also provides functions for generating
        publication-ready summary tables for reports. Additionally,
        users can fit linear and non-linear least-squares regression
        models if clustering is not applicable. The mixed-effects
        modeling methods in this package are based on Comets, Lavenu,
        and Lavielle (2017) <doi:10.18637/jss.v080.i03> as implemented
        in the 'saemix' package. Please contact us at
        models@dfci.harvard.edu with any questions.
License: GPL (>= 3)
Depends: R (>= 4.0.0)
Imports: dplyr (>= 1.1.4), flextable (>= 0.9.6), ggplot2 (>= 3.5.1),
        investr (>= 1.4.2), knitr (>= 1.46), magrittr (>= 2.0.3),
        minpack.lm (>= 1.2-4), moments (>= 0.14.1), patchwork (>=
        1.2.0), rlang (>= 1.1.3), saemix (>= 3.3), stringr (>= 1.5.1),
        tibble (>= 3.2.1), tidyr (>= 1.3.1), viridis (>= 0.6.5)
Suggests: rmarkdown (>= 2.27), testthat (>= 3.2.1.1)
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/testthat/edition: 3
URL: https://github.com/cancermodels-org/GrowthCurveME
BugReports: https://github.com/cancermodels-org/GrowthCurveME/issues
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev
        libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev
        libxml2-dev libssl-dev
Repository: https://cancermodels-org.r-universe.dev
Date/Publication: 2025-04-11 13:01:55 UTC
RemoteUrl: https://github.com/cancermodels-org/growthcurveme
RemoteRef: HEAD
RemoteSha: fca97387512939ad8c28f1097bd6ae2a1ecf8040
NeedsCompilation: no
Packaged: 2026-07-15 06:15:24 UTC; root
Author: Anand Panigrahy [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-2130-2089>),
  Sonam Bhatia [ctb] (ORCID: <https://orcid.org/0000-0002-0124-2621>),
  Thomas Quinn [dtc],
  Aniket Shetty [rev],
  Keith Ligon [fnd] (ORCID: <https://orcid.org/0000-0002-7733-600X>),
  Center for Patient-Derived Models Dana-Farber Cancer Institute [cph]
Maintainer: Anand Panigrahy <anand_panigrahy@dfci.harvard.edu>