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  "Description": "A suite of functions for analyzing and visualizing the\nhealth economic outputs of mathematical models. This package\nwas developed with funding from the National Institutes of\nAllergy and Infectious Diseases of the National Institutes of\nHealth under award no. R01AI138783. The content of this package\nis solely the responsibility of the authors and does not\nnecessarily represent the official views of the National\nInstitutes of Health. The theoretical underpinnings of\n'dampack''s functionality are detailed in Hunink et al. (2014)\n<doi:10.1017/CBO9781139506779>.",
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    "calc_evpi",
    "calc_evppi",
    "calc_evsi",
    "calc_exp_loss",
    "calculate_icers",
    "calculate_icers_psa",
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    "create_dsa_oneway",
    "create_dsa_twoway",
    "dirichlet_params",
    "gamma_params",
    "gen_psa_samp",
    "lnorm_params",
    "make_psa_obj",
    "metamodel",
    "number_ticks",
    "owsa",
    "owsa_opt_strat",
    "owsa_tornado",
    "run_owsa_det",
    "run_psa",
    "run_twsa_det",
    "twsa"
  ],
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      "title": "Sample PSA data for testing",
      "object": "example_psa",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "example_psa_obj",
      "title": "Sample PSA data for testing",
      "object": "example_psa_obj",
      "class": [
        "psa"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "hund_strat",
      "title": "Sample deterministic data for testing",
      "object": "hund_strat",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Strategy",
        "Cost",
        "QALYs"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "psa_cdiff",
      "title": "Sample PSA dataset",
      "object": "psa_cdiff",
      "class": [
        "psa",
        "sa"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "beta_params",
      "title": "Calculate alpha and beta parameters of beta distribution.",
      "topics": [
        "beta_params"
      ]
    },
    {
      "page": "calc_evpi",
      "title": "Expected Value of Perfect Information (EVPI)",
      "topics": [
        "calc_evpi"
      ]
    },
    {
      "page": "calc_evppi",
      "title": "Estimation of the Expected Value of Partial Perfect Information (EVPPI) using a linear regression metamodel approach",
      "topics": [
        "calc_evppi"
      ]
    },
    {
      "page": "calc_evsi",
      "title": "Calculate Expected Value of Sample Information (EVSI)",
      "topics": [
        "calc_evsi"
      ]
    },
    {
      "page": "calc_exp_loss",
      "title": "Calculate the expected loss at a range of willingness-to-pay thresholds",
      "topics": [
        "calc_exp_loss"
      ]
    },
    {
      "page": "calculate_icers",
      "title": "Calculate incremental cost-effectiveness ratios (ICERs)",
      "topics": [
        "calculate_icers"
      ]
    },
    {
      "page": "calculate_icers_psa",
      "title": "Calculate incremental cost-effectiveness ratios from a 'psa' object.",
      "topics": [
        "calculate_icers_psa"
      ]
    },
    {
      "page": "ceac",
      "title": "Cost-Effectiveness Acceptability Curve (CEAC)",
      "topics": [
        "ceac"
      ]
    },
    {
      "page": "create_dsa_oneway",
      "title": "Create one-way deterministic sensitivity analysis object",
      "topics": [
        "create_dsa_oneway"
      ]
    },
    {
      "page": "create_dsa_twoway",
      "title": "Create one-way deterministic sensitivity analysis object",
      "topics": [
        "create_dsa_twoway"
      ]
    },
    {
      "page": "dirichlet_params",
      "title": "Calculate alpha parameters of Dirichlet distribution.",
      "topics": [
        "dirichlet_params"
      ]
    },
    {
      "page": "example_psa",
      "title": "Sample PSA data for testing",
      "topics": [
        "example_psa"
      ]
    },
    {
      "page": "example_psa_obj",
      "title": "Sample PSA data for testing",
      "topics": [
        "example_psa_obj"
      ]
    },
    {
      "page": "gamma_params",
      "title": "Calculate shape and scale (or rate) parameters of a gamma distribution.",
      "topics": [
        "gamma_params"
      ]
    },
    {
      "page": "gen_psa_samp",
      "title": "Generate PSA Sample",
      "topics": [
        "gen_psa_samp"
      ]
    },
    {
      "page": "hund_strat",
      "title": "Sample deterministic data for testing",
      "topics": [
        "hund_strat"
      ]
    },
    {
      "page": "lnorm_params",
      "title": "Calculate location and scale parameters of a log-normal distribution.",
      "topics": [
        "lnorm_params"
      ]
    },
    {
      "page": "make_psa_obj",
      "title": "Create a PSA object",
      "topics": [
        "make_psa_obj"
      ]
    },
    {
      "page": "metamodel",
      "title": "Linear regression metamodeling",
      "topics": [
        "metamodel"
      ]
    },
    {
      "page": "number_ticks",
      "title": "Number of ticks for 'ggplot2' plots",
      "topics": [
        "number_ticks"
      ]
    },
    {
      "page": "owsa",
      "title": "One-way sensitivity analysis",
      "topics": [
        "owsa"
      ]
    },
    {
      "page": "owsa_opt_strat",
      "title": "plot the optimal strategy as the parameter values change",
      "topics": [
        "owsa_opt_strat"
      ]
    },
    {
      "page": "owsa_tornado",
      "title": "Tornado plot of a one-way sensitivity analysis",
      "topics": [
        "owsa_tornado"
      ]
    },
    {
      "page": "plot.evpi",
      "title": "Plot of Expected Value of Perfect Information (EVPI)",
      "topics": [
        "plot.evpi"
      ]
    },
    {
      "page": "plot.evppi",
      "title": "Plot of Expected Value of Partial Perfect Information (EVPPI)",
      "topics": [
        "plot.evppi"
      ]
    },
    {
      "page": "plot.evsi",
      "title": "Plot of Expected Value of Sample Information (EVSI)",
      "topics": [
        "plot.evsi"
      ]
    },
    {
      "page": "plot.exp_loss",
      "title": "Plot of Expected Loss Curves (ELC)",
      "topics": [
        "plot.exp_loss"
      ]
    },
    {
      "page": "plot.icers",
      "title": "Plot of ICERs",
      "topics": [
        "plot.icers"
      ]
    },
    {
      "page": "plot.owsa",
      "title": "Plot a sensitivity analysis",
      "topics": [
        "plot.owsa"
      ]
    },
    {
      "page": "plot.psa",
      "title": "Plot the psa object",
      "topics": [
        "plot.psa"
      ]
    },
    {
      "page": "plot.twsa",
      "title": "Two-way sensitivity analysis plot",
      "topics": [
        "plot.twsa"
      ]
    },
    {
      "page": "predict.metamodel",
      "title": "Predict from a one-way or two-way metamodel",
      "topics": [
        "predict.metamodel"
      ]
    },
    {
      "page": "print.metamodel",
      "title": "Print metamodel",
      "topics": [
        "print.metamodel"
      ]
    },
    {
      "page": "print.sa",
      "title": "print a psa object",
      "topics": [
        "print.sa"
      ]
    },
    {
      "page": "psa_cdiff",
      "title": "Sample PSA dataset",
      "topics": [
        "psa_cdiff"
      ]
    },
    {
      "page": "rdirichlet",
      "title": "Random number generation for the Dirichlet distribution with parameter vector alpha.",
      "topics": [
        "rdirichlet"
      ]
    },
    {
      "page": "run_owsa_det",
      "title": "Run deterministic one-way sensitivity analysis (OWSA)",
      "topics": [
        "run_owsa_det"
      ]
    },
    {
      "page": "run_psa",
      "title": "Calculate outcomes for a PSA using a user-defined function.",
      "topics": [
        "run_psa"
      ]
    },
    {
      "page": "run_twsa_det",
      "title": "Run deterministic two-way sensitivity analysis (TWSA)",
      "topics": [
        "run_twsa_det"
      ]
    },
    {
      "page": "summary.metamodel",
      "title": "Summary of metamodel",
      "topics": [
        "summary.metamodel"
      ]
    },
    {
      "page": "summary.psa",
      "title": "summarize a psa object across all simulations",
      "topics": [
        "summary.psa"
      ]
    },
    {
      "page": "twsa",
      "title": "Two-way sensitivity analysis using linear regression metamodeling",
      "topics": [
        "twsa"
      ]
    }
  ],
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      "engine": "knitr::rmarkdown",
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        "Background",
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        "Plot CEA results",
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      "engine": "knitr::rmarkdown",
      "headings": [
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      "engine": "knitr::rmarkdown",
      "headings": [
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      "headings": [
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        "Metamodeling VoI Functions",
        "EVPPI",
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      "created": "2019-09-26 20:54:28",
      "modified": "2024-09-13 16:55:22",
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