Package: GrowthCurveME
Title: Mixed-Effects Modeling for Growth Data
Version: 0.1.11
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
RoxygenNote: 7.3.2
Config/testthat/edition: 3
URL: https://github.com/cancermodels-org/GrowthCurveME
BugReports: https://github.com/cancermodels-org/GrowthCurveME/issues
NeedsCompilation: no
Packaged: 2025-04-10 15:00:43 UTC; Anand
Author: Anand Panigrahy [aut, cre] (<https://orcid.org/0000-0002-2130-2089>),
  Sonam Bhatia [ctb] (<https://orcid.org/0000-0002-0124-2621>),
  Thomas Quinn [dtc],
  Aniket Shetty [rev],
  Keith Ligon [fnd] (<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>
Repository: CRAN
Date/Publication: 2025-04-11 08:20:18 UTC
Built: R 4.6.0; ; 2026-04-25 13:43:21 UTC; unix
