{
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  "Title": "Workflows for Health Technology Assessments in R using Discrete\nEveNts",
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  "Description": "Toolkit to support and perform discrete event simulations\nwith and without resource constraints in the context of health\ntechnology assessments (HTA). The package focuses on\ncost-effectiveness modelling and aims to be submission-ready to\nrelevant HTA bodies in alignment with 'NICE TSD 15'\n<https://sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>.\nMore details an examples can be found in the package website\n<https://jsanchezalv.github.io/WARDEN/>.",
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  "Date/Publication": "2026-05-28 16:19:24 UTC",
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    "add_item",
    "add_item2",
    "add_reactevt",
    "add_tte",
    "adj_val",
    "ast_as_list",
    "ceac_des",
    "cond_dirichlet",
    "cond_mvn",
    "create_indicators",
    "disc_cycle",
    "disc_cycle_v",
    "disc_instant",
    "disc_instant_v",
    "disc_ongoing",
    "disc_ongoing_v",
    "discrete_resource_clone",
    "draw_tte",
    "evpi_des",
    "extract_elements_from_list",
    "extract_from_reactions",
    "extract_psa_result",
    "get_event",
    "has_event",
    "input_block",
    "luck_adj",
    "modify_event",
    "modify_item",
    "modify_item_seq",
    "new_event",
    "next_event",
    "next_event_pt",
    "pcond_gompertz",
    "pick_psa",
    "pick_val_v",
    "qbeta_mse",
    "qcond_exp",
    "qcond_gamma",
    "qcond_gompertz",
    "qcond_llogis",
    "qcond_lnorm",
    "qcond_norm",
    "qcond_weibull",
    "qcond_weibullPH",
    "qgamma_mse",
    "qtimecov",
    "queue_create",
    "queue_empty",
    "queue_size",
    "random_stream",
    "rbeta_mse",
    "rcond_gompertz",
    "rcond_gompertz_lu",
    "rdirichlet",
    "rdirichlet_prob",
    "release",
    "release_all",
    "release_all_if_using",
    "remove_event",
    "replicate_profiles",
    "resource_discrete",
    "rgamma_mse",
    "rpoisgamma",
    "rpoisgamma_rcpp",
    "run_sim",
    "run_sim_parallel",
    "seize",
    "seize_all",
    "sens_iterator",
    "shared_decr",
    "shared_incr",
    "shared_input",
    "summary_results_det",
    "summary_results_sens",
    "summary_results_sim"
  ],
  "_datasets": [
    {
      "name": "tte.df",
      "title": "Example TTE IPD data",
      "object": "tte.df",
      "class": [
        "data.frame"
      ],
      "fields": [
        "USUBJID",
        "ARMCD",
        "ARM",
        "PARAMCD",
        "PARAM",
        "AVAL",
        "AVALU",
        "CNSR"
      ],
      "rows": 1000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_item",
      "title": "Define or append model inputs",
      "topics": [
        "add_item"
      ]
    },
    {
      "page": "add_item2",
      "title": "Define parameters that may be used in model calculations (uses expressions)",
      "topics": [
        "add_item2"
      ]
    },
    {
      "page": "add_reactevt",
      "title": "Define the modifications to other events, costs, utilities, or other items affected by the occurrence of the event",
      "topics": [
        "add_reactevt"
      ]
    },
    {
      "page": "add_tte",
      "title": "Define events and the initial event time",
      "topics": [
        "add_tte"
      ]
    },
    {
      "page": "adj_val",
      "title": "Adjusted Value Calculation",
      "topics": [
        "adj_val"
      ]
    },
    {
      "page": "ast_as_list",
      "title": "Transform a substituted expression to its Abstract Syntax Tree (AST) as a list",
      "topics": [
        "ast_as_list"
      ]
    },
    {
      "page": "ceac_des",
      "title": "Calculate the cost-effectiveness acceptability curve (CEAC) for a DES model with a PSA result",
      "topics": [
        "ceac_des"
      ]
    },
    {
      "page": "cond_dirichlet",
      "title": "Calculate conditional dirichlet values",
      "topics": [
        "cond_dirichlet"
      ]
    },
    {
      "page": "cond_mvn",
      "title": "Calculate conditional multivariate normal values",
      "topics": [
        "cond_mvn"
      ]
    },
    {
      "page": "create_indicators",
      "title": "Creates a vector of indicators (0 and 1) for sensitivity/DSA analysis",
      "topics": [
        "create_indicators"
      ]
    },
    {
      "page": "disc_cycle",
      "title": "Cycle discounting",
      "topics": [
        "disc_cycle"
      ]
    },
    {
      "page": "disc_cycle_v",
      "title": "Cycle discounting for vectors",
      "topics": [
        "disc_cycle_v"
      ]
    },
    {
      "page": "disc_instant",
      "title": "Calculate instantaneous discounted costs or qalys",
      "topics": [
        "disc_instant"
      ]
    },
    {
      "page": "disc_instant_v",
      "title": "Calculate instantaneous discounted costs or qalys for vectors",
      "topics": [
        "disc_instant_v"
      ]
    },
    {
      "page": "disc_ongoing",
      "title": "Calculate discounted costs and qalys between events",
      "topics": [
        "disc_ongoing"
      ]
    },
    {
      "page": "disc_ongoing_v",
      "title": "Calculate discounted costs and qalys between events for vectors",
      "topics": [
        "disc_ongoing_v"
      ]
    },
    {
      "page": "discrete_resource_clone",
      "title": "Clone independent discrete resources",
      "topics": [
        "discrete_resource_clone"
      ]
    },
    {
      "page": "draw_tte",
      "title": "Draw a time to event from a list of parametric survival functions",
      "topics": [
        "draw_tte"
      ]
    },
    {
      "page": "evpi_des",
      "title": "Calculate the Expected Value of Perfect Information (EVPI) for a DES model with a PSA result",
      "topics": [
        "evpi_des"
      ]
    },
    {
      "page": "extract_elements_from_list",
      "title": "Extracts items and events by looking into assignments, modify_event and new_event",
      "topics": [
        "extract_elements_from_list"
      ]
    },
    {
      "page": "extract_from_reactions",
      "title": "Extract all items and events and their interactions from the event reactions list",
      "topics": [
        "extract_from_reactions"
      ]
    },
    {
      "page": "extract_psa_result",
      "title": "Extract PSA results from a treatment",
      "topics": [
        "extract_psa_result"
      ]
    },
    {
      "page": "get_event",
      "title": "Get a specific event time",
      "topics": [
        "get_event"
      ]
    },
    {
      "page": "has_event",
      "title": "Check if a patient has a specific event in the queue",
      "topics": [
        "has_event"
      ]
    },
    {
      "page": "input_block",
      "title": "Build an input block for automatic parameter selection",
      "topics": [
        "input_block"
      ]
    },
    {
      "page": "luck_adj",
      "title": "Perform luck adjustment",
      "topics": [
        "luck_adj"
      ]
    },
    {
      "page": "modify_event",
      "title": "Modify or add events for a patient",
      "topics": [
        "modify_event"
      ]
    },
    {
      "page": "modify_item",
      "title": "Modify the value of existing items",
      "topics": [
        "modify_item"
      ]
    },
    {
      "page": "modify_item_seq",
      "title": "Modify the value of existing items",
      "topics": [
        "modify_item_seq"
      ]
    },
    {
      "page": "new_event",
      "title": "Add events to the queue for a patient",
      "topics": [
        "new_event"
      ]
    },
    {
      "page": "next_event",
      "title": "Get the next events in the queue",
      "topics": [
        "next_event"
      ]
    },
    {
      "page": "next_event_pt",
      "title": "Get the next events in the queue for a specific patient",
      "topics": [
        "next_event_pt"
      ]
    },
    {
      "page": "pcond_gompertz",
      "title": "Survival Probaility function for conditional Gompertz distribution (lower bound only)",
      "topics": [
        "pcond_gompertz"
      ]
    },
    {
      "page": "pick_psa",
      "title": "Helper function to create a list with random draws or whenever a series of functions needs to be called. Can be implemented within 'pick_val_v'.",
      "topics": [
        "pick_psa"
      ]
    },
    {
      "page": "pick_val_v",
      "title": "Select which values should be applied in the corresponding loop for several values (vector or list).",
      "topics": [
        "pick_val_v"
      ]
    },
    {
      "page": "pop_and_return_event",
      "title": "Pop and return the next event",
      "topics": [
        "pop_and_return_event"
      ]
    },
    {
      "page": "pop_event",
      "title": "Remove the next event from the queue",
      "topics": [
        "pop_event"
      ]
    },
    {
      "page": "qbeta_mse",
      "title": "Draw from a beta distribution based on mean and se (quantile)",
      "topics": [
        "qbeta_mse"
      ]
    },
    {
      "page": "qcond_exp",
      "title": "Conditional quantile function for exponential distribution",
      "topics": [
        "qcond_exp"
      ]
    },
    {
      "page": "qcond_gamma",
      "title": "Conditional quantile function for gamma distribution",
      "topics": [
        "qcond_gamma"
      ]
    },
    {
      "page": "qcond_gompertz",
      "title": "Quantile function for conditional Gompertz distribution (lower bound only)",
      "topics": [
        "qcond_gompertz"
      ]
    },
    {
      "page": "qcond_llogis",
      "title": "Conditional quantile function for loglogistic distribution",
      "topics": [
        "qcond_llogis"
      ]
    },
    {
      "page": "qcond_lnorm",
      "title": "Conditional quantile function for lognormal distribution",
      "topics": [
        "qcond_lnorm"
      ]
    },
    {
      "page": "qcond_norm",
      "title": "Conditional quantile function for normal distribution",
      "topics": [
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      "page": "qcond_weibullPH",
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      "page": "queue_create",
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      "page": "rdirichlet",
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      "title": "Summary of PSA outputs for a treatment",
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      "page": "tte.df",
      "title": "Example TTE IPD data",
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      "source": "example_ssd.Rmd",
      "filename": "example_ssd.html",
      "title": "Example for a Sick-Sicker-Dead model",
      "author": "Javier Sanchez Alvarez and Valerie Aponte Ribero",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Main options",
        "General inputs with delayed execution",
        "Events",
        "Add Initial Events",
        "Add Reaction to Those Events",
        "Extract Interactions Within Events",
        "Costs and Utilities",
        "Utilities",
        "Costs",
        "Model",
        "Model Execution",
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        "Inputs",
        "Check results",
        "Model Execution, probabilistic DSA",
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      "created": "2021-10-22 09:09:24",
      "modified": "2026-05-27 12:24:26",
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