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  "Package": "GrowthCurveME",
  "Title": "Mixed-Effects Modeling for Growth Data",
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  "Description": "Simple and user-friendly wrappers to the 'saemix' package\nfor performing linear and non-linear mixed-effects regression\nmodeling for growth data to account for clustering or\nlongitudinal analysis via repeated measurements. The package\nallows users to fit a variety of growth models, including\nlinear, exponential, logistic, and 'Gompertz' functions. For\nnon-linear models, starting values are automatically calculated\nusing initial least-squares estimates. The package includes\nfunctions for summarizing models, visualizing data and results,\ncalculating doubling time and other key statistics, and\ngenerating model diagnostic plots and residual summary\nstatistics. It also provides functions for generating\npublication-ready summary tables for reports. Additionally,\nusers can fit linear and non-linear least-squares regression\nmodels if clustering is not applicable. The mixed-effects\nmodeling methods in this package are based on Comets, Lavenu,\nand Lavielle (2017) <doi:10.18637/jss.v080.i03> as implemented\nin the 'saemix' package. Please contact us at\nmodels@dfci.harvard.edu with any questions.",
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  "URL": "https://github.com/cancermodels-org/GrowthCurveME",
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  "Repository": "https://cancermodels-org.r-universe.dev",
  "Date/Publication": "2025-04-11 13:01:55 UTC",
  "RemoteUrl": "https://github.com/cancermodels-org/growthcurveme",
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  "Author": "Anand Panigrahy [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-2130-2089>),\nSonam Bhatia [ctb] (ORCID: <https://orcid.org/0000-0002-0124-2621>),\nThomas Quinn [dtc],\nAniket Shetty [rev],\nKeith Ligon [fnd] (ORCID: <https://orcid.org/0000-0002-7733-600X>),\nCenter for Patient-Derived Models Dana-Farber Cancer Institute [cph]",
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        "time",
        "growth_metric"
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      "tojson": true
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        "time",
        "growth_metric"
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      "table": true,
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      "object": "lin_mixed_data",
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      ],
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        "time",
        "growth_metric"
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      "object": "log_mixed_data",
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      "title": "Sample exponential growth dataset",
      "topics": [
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      "page": "exponential_mixed_model",
      "title": "Fit an exponential mixed-effects regression model",
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      "title": "Sample Gompertz growth dataset",
      "topics": [
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      "topics": [
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