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  "Title": "Bayesian Super Imposition by Translation and Rotation Growth\nCurve Analysis",
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  "Authors@R": "person(\"Satpal\", \"Sandhu\", , \"satpal.sandhu@bristol.ac.uk\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-8539-6897\"))",
  "Maintainer": "Satpal Sandhu <satpal.sandhu@bristol.ac.uk>",
  "Description": "The Super Imposition by Translation and Rotation (SITAR)\nmodel is a shape-invariant nonlinear mixed effect model that\nfits a natural cubic spline mean curve to the growth data and\naligns individual-specific growth curves to the underlying mean\ncurve via a set of random effects (see Cole, 2010\n<doi:10.1093/ije/dyq115> for details). The non-Bayesian version\nof the SITAR model can be fit by using the already available R\npackage 'sitar'. Unlike the 'sitar' package which allows\nmodelling of a single outcome only, the 'bsitar' package offers\ngreat flexibility in fitting models of varying complexities,\nincluding joint modelling of multiple outcomes such as height\nand weight (multivariate model). Additionally, the 'bsitar'\npackage allows for the simultaneous analysis of an outcome\nseparately for subgroups defined by a factor variable such as\ngender. This is achieved by fitting separate models for each\nsubgroup (for example males and females for gender variable).\nAn advantage of this approach is that posterior draws for each\nsubgroup are part of a single model object, making it possible\nto compare coefficients across subgroups and test hypotheses.\nSince the 'bsitar' package is a front-end to the R package\n'brms', it offers excellent support for post-processing of\nposterior draws via various functions that are directly\navailable from the 'brms' package. In addition, the 'bsitar'\npackage includes various customized functions that allow for\nthe visualization of distance (increase in size with age) and\nvelocity (change in growth rate as a function of age), as well\nas the estimation of growth spurt parameters such as age at\npeak growth velocity and peak growth velocity.",
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  "Repository": "https://sandhu-ss.r-universe.dev",
  "Date/Publication": "2026-06-05 04:46:35 UTC",
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    "Date": "2026-06-05 07:18:37 UTC",
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  "Author": "Satpal Sandhu [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-8539-6897>)",
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    "add_model_criterion",
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    "compare_model",
    "compare_models",
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    "fitted_draws",
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    "marginal_comparisons",
    "marginal_draws",
    "marginal_growthparameters",
    "modelbased_growthparameters",
    "optimize_model",
    "plot_conditional_effects",
    "plot_curves",
    "plot_diagnostics",
    "plot_ppc",
    "predict_draws",
    "update_model"
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      "title": "Berkeley Child Guidance Study Data",
      "object": "berkeley",
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        "data.frame"
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        "strength",
        "sex"
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      "tojson": true
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      "object": "berkeley_exdata",
      "class": [
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        "age",
        "height"
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      "table": true,
      "tojson": true
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    {
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      "title": "Model Fit to the Berkeley Child Guidance Study Data for Females",
      "object": "berkeley_exfit",
      "class": [
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        "bgmfit"
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      "fields": [],
      "table": false,
      "tojson": false
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    {
      "page": "add_model_criterion",
      "title": "Add fit criteria to the Bayesian SITAR Model",
      "topics": [
        "add_model_criterion",
        "add_model_criterion.bgmfit"
      ]
    },
    {
      "page": "berkeley",
      "title": "Berkeley Child Guidance Study Data",
      "topics": [
        "berkeley"
      ]
    },
    {
      "page": "berkeley_exdata",
      "title": "Berkeley Child Guidance Study Data for Females",
      "topics": [
        "berkeley_exdata"
      ]
    },
    {
      "page": "berkeley_exfit",
      "title": "Model Fit to the Berkeley Child Guidance Study Data for Females",
      "topics": [
        "berkeley_exfit"
      ]
    },
    {
      "page": "bsitar",
      "title": "Fit Bayesian SITAR Model",
      "topics": [
        "bsitar"
      ]
    },
    {
      "page": "compare_models",
      "title": "Model comparison with the loo package",
      "topics": [
        "compare_model",
        "compare_models",
        "compare_models.bgmfit"
      ]
    },
    {
      "page": "expose_model_functions",
      "title": "Expose user-defined Stan functions for the Bayesian SITAR model",
      "topics": [
        "expose_model_functions",
        "expose_model_functions.bgmfit"
      ]
    },
    {
      "page": "fitted_draws",
      "title": "Estimate fitted (Expected) values for the Bayesian SITAR model",
      "topics": [
        "fitted_draws",
        "fitted_draws.bgmfit"
      ]
    },
    {
      "page": "get_comparisons",
      "title": "Estimate and compare growth curves for the Bayesian SITAR model",
      "topics": [
        "get_comparisons",
        "get_comparisons.bgmfit",
        "marginal_comparison",
        "marginal_comparisons"
      ]
    },
    {
      "page": "get_growthparameters",
      "title": "Estimate and compare growth parameters for the Bayesian SITAR model",
      "topics": [
        "get_gp",
        "get_growthparameters",
        "get_growthparameters.bgmfit",
        "growthparameters_comparison",
        "marginal_growthparameters"
      ]
    },
    {
      "page": "get_predictions",
      "title": "Estimate and plot growth curves for the Bayesian SITAR model",
      "topics": [
        "get_predictions",
        "get_predictions.bgmfit",
        "marginal_draws"
      ]
    },
    {
      "page": "getNsObject",
      "title": "Retrieve Bayesian SITAR model object if it exists",
      "topics": [
        "getNsObject"
      ]
    },
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