{
  "_id": "6a17ebb5acfb0bcc41da37dd",
  "Package": "dynamite",
  "Title": "Bayesian Modeling and Causal Inference for Multivariate\nLongitudinal Data",
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  "Authors@R": "c(\nperson(\"Santtu\", \"Tikka\", email = \"santtuth@gmail.com\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4039-4342\")),\nperson(\"Jouni\", \"Helske\", email = \"jouni.helske@iki.fi\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-7130-793X\")),\nperson(\"Nicholas\", \"Clark\", role = \"rev\"),\nperson(\"Lucy\", \"D'Agostino McGowan\", role = \"rev\")\n)",
  "Description": "Easy-to-use and efficient interface for Bayesian inference\nof complex panel (time series) data using dynamic multivariate\npanel models by Helske and Tikka (2024)\n<doi:10.1016/j.alcr.2024.100617>. The package supports joint\nmodeling of multiple measurements per individual, time-varying\nand time-invariant effects, and a wide range of discrete and\ncontinuous distributions. Estimation of these dynamic\nmultivariate panel models is carried out via 'Stan'. For an\nin-depth tutorial of the package, see (Tikka and Helske, 2025)\n<doi:10.18637/jss.v115.i05>.",
  "License": "GPL (>= 3)",
  "URL": "https://docs.ropensci.org/dynamite/,\nhttps://github.com/ropensci/dynamite/",
  "BugReports": "https://github.com/ropensci/dynamite/issues/",
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  "Repository": "https://ropensci.r-universe.dev",
  "Date/Publication": "2026-04-27 08:39:30 UTC",
  "RemoteUrl": "https://github.com/ropensci/dynamite",
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  "Author": "Santtu Tikka [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-4039-4342>),\nJouni Helske [aut] (ORCID: <https://orcid.org/0000-0001-7130-793X>),\nNicholas Clark [rev],\nLucy D'Agostino McGowan [rev]",
  "Maintainer": "Santtu Tikka <santtuth@gmail.com>",
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    "aux",
    "dynamice",
    "dynamite",
    "dynamiteformula",
    "get_algorithm",
    "get_code",
    "get_data",
    "get_diagnostics",
    "get_draws",
    "get_elapsed_time",
    "get_max_treedepth",
    "get_model_code",
    "get_nchains",
    "get_ndraws",
    "get_parameter_dims",
    "get_parameter_names",
    "get_parameter_types",
    "get_pars_oi",
    "get_priors",
    "hmc_diagnostics",
    "lags",
    "lfactor",
    "lfo",
    "loo",
    "mcmc_diagnostics",
    "mice.impute.lag",
    "mice.impute.lead",
    "ndraws",
    "obs",
    "plot_betas",
    "plot_deltas",
    "plot_lambdas",
    "plot_nus",
    "plot_psis",
    "random_spec",
    "splines"
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      "title": "Simulated Categorical Multivariate Panel Data",
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      "class": [
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      "fields": [
        "id",
        "time",
        "x",
        "y",
        "z"
      ],
      "rows": 2000,
      "table": true,
      "tojson": true
    },
    {
      "name": "categorical_example_fit",
      "title": "Model Fit for the Simulated Categorical Multivariate Panel Data",
      "object": "categorical_example_fit",
      "class": [
        "dynamitefit"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "gaussian_example",
      "title": "Simulated Data of a Gaussian Response",
      "object": "gaussian_example",
      "class": [
        "data.frame"
      ],
      "fields": [
        "y",
        "x",
        "z",
        "id",
        "time"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    },
    {
      "name": "gaussian_example_fit",
      "title": "Model Fit for the Simulated Data of a Gaussian Response",
      "object": "gaussian_example_fit",
      "class": [
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      "fields": [],
      "table": false,
      "tojson": false
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      "title": "Simulated Multivariate Panel Data",
      "object": "multichannel_example",
      "class": [
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        "time",
        "g",
        "p",
        "b"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    },
    {
      "name": "multichannel_example_fit",
      "title": "Model Fit for the Simulated Multivariate Panel Data",
      "object": "multichannel_example_fit",
      "class": [
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      "fields": [],
      "table": false,
      "tojson": false
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      "page": "dynamite-package",
      "title": "The 'dynamite' Package",
      "topics": [
        "dynamite-package"
      ]
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      "page": "as_draws-dynamitefit",
      "title": "Convert 'dynamite' Output to 'draws_df' Format",
      "concept": [
        "output"
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      "topics": [
        "as_draws",
        "as_draws.dynamitefit",
        "as_draws_df",
        "as_draws_df.dynamitefit"
      ]
    },
    {
      "page": "as.data.frame.dynamitefit",
      "title": "Extract Samples From a 'dynamitefit' Object as a Data Frame",
      "concept": [
        "output"
      ],
      "topics": [
        "as.data.frame.dynamitefit"
      ]
    },
    {
      "page": "as.data.table.dynamitefit",
      "title": "Extract Samples From a 'dynamitefit' Object as a Data Table",
      "concept": [
        "output"
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        "as.data.table",
        "as.data.table.dynamitefit"
      ]
    },
    {
      "page": "categorical_example",
      "title": "Simulated Categorical Multivariate Panel Data",
      "concept": [
        "examples"
      ],
      "topics": [
        "categorical_example"
      ]
    },
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      "page": "categorical_example_fit",
      "title": "Model Fit for the Simulated Categorical Multivariate Panel Data",
      "concept": [
        "examples"
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      "topics": [
        "categorical_example_fit"
      ]
    },
    {
      "page": "coef.dynamitefit",
      "title": "Extract Regression Coefficients of a 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "coef.dynamitefit"
      ]
    },
    {
      "page": "confint.dynamitefit",
      "title": "Credible Intervals for 'dynamite' Model Parameters",
      "concept": [
        "output"
      ],
      "topics": [
        "confint.dynamitefit"
      ]
    },
    {
      "page": "dynamice",
      "title": "Estimate a Bayesian Dynamic Multivariate Panel Model With Multiple Imputation",
      "concept": [
        "fitting"
      ],
      "topics": [
        "dynamice"
      ]
    },
    {
      "page": "dynamite",
      "title": "Estimate a Bayesian Dynamic Multivariate Panel Model",
      "concept": [
        "fitting",
        "formulas",
        "output"
      ],
      "topics": [
        "dynamite",
        "formula.dynamitefit",
        "print.dynamitefit",
        "summary.dynamitefit"
      ]
    },
    {
      "page": "dynamite-deprecated",
      "title": "Deprecated Functions in the 'dynamite' Package",
      "topics": [
        "dynamite-deprecated",
        "plot_betas",
        "plot_deltas",
        "plot_lambdas",
        "plot_nus",
        "plot_psis"
      ]
    },
    {
      "page": "dynamiteformula",
      "title": "Model Formula for 'dynamite'",
      "concept": [
        "formulas"
      ],
      "topics": [
        "+.dynamiteformula",
        "aux",
        "dynamiteformula",
        "obs",
        "print.dynamiteformula"
      ]
    },
    {
      "page": "fitted.dynamitefit",
      "title": "Extract Fitted Values of a 'dynamite' Model",
      "concept": [
        "prediction"
      ],
      "topics": [
        "fitted.dynamitefit"
      ]
    },
    {
      "page": "gaussian_example",
      "title": "Simulated Data of a Gaussian Response",
      "concept": [
        "examples"
      ],
      "topics": [
        "gaussian_example"
      ]
    },
    {
      "page": "gaussian_example_fit",
      "title": "Model Fit for the Simulated Data of a Gaussian Response",
      "concept": [
        "examples"
      ],
      "topics": [
        "gaussian_example_fit"
      ]
    },
    {
      "page": "get_code",
      "title": "Extract the Stan Code of the 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "get_code",
        "get_code.dynamitefit",
        "get_code.dynamiteformula"
      ]
    },
    {
      "page": "get_data",
      "title": "Extract the Model Data of the 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "get_data",
        "get_data.dynamitefit",
        "get_data.dynamiteformula"
      ]
    },
    {
      "page": "get_parameter_dims",
      "title": "Get Parameter Dimensions of the 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "get_parameter_dims",
        "get_parameter_dims.dynamitefit",
        "get_parameter_dims.dynamiteformula"
      ]
    },
    {
      "page": "get_parameter_names",
      "title": "Get Parameter Names of the 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "get_parameter_names",
        "get_parameter_names.dynamitefit"
      ]
    },
    {
      "page": "get_parameter_types",
      "title": "Get Parameter Types of the 'dynamite' Model",
      "concept": [
        "output"
      ],
      "topics": [
        "get_parameter_types",
        "get_parameter_types.dynamitefit"
      ]
    },
    {
      "page": "get_priors",
      "title": "Get Prior Definitions of a 'dynamite' Model",
      "concept": [
        "fitting"
      ],
      "topics": [
        "get_priors",
        "get_priors.dynamitefit",
        "get_priors.dynamiteformula"
      ]
    },
    {
      "page": "hmc_diagnostics",
      "title": "HMC Diagnostics for a 'dynamite' Model",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "hmc_diagnostics",
        "hmc_diagnostics.dynamitefit"
      ]
    },
    {
      "page": "lags",
      "title": "Add Lagged Responses as Predictors to Each Channel of a 'dynamite' Model",
      "concept": [
        "formulas"
      ],
      "topics": [
        "lags"
      ]
    },
    {
      "page": "lfactor",
      "title": "Define a Common Latent Factor for the 'dynamite' Model.",
      "concept": [
        "formulas"
      ],
      "topics": [
        "lfactor"
      ]
    },
    {
      "page": "lfo",
      "title": "Approximate Leave-Future-Out (LFO) Cross-validation",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "lfo",
        "lfo.dynamitefit"
      ]
    },
    {
      "page": "loo.dynamitefit",
      "title": "Approximate Leave-One-Out (LOO) Cross-validation",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "loo",
        "loo.dynamitefit"
      ]
    },
    {
      "page": "mcmc_diagnostics",
      "title": "Diagnostic Values of a 'dynamite' Model",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "mcmc_diagnostics",
        "mcmc_diagnostics.dynamitefit"
      ]
    },
    {
      "page": "multichannel_example",
      "title": "Simulated Multivariate Panel Data",
      "concept": [
        "examples"
      ],
      "topics": [
        "multichannel_example"
      ]
    },
    {
      "page": "multichannel_example_fit",
      "title": "Model Fit for the Simulated Multivariate Panel Data",
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