{
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  "Package": "epidist",
  "Title": "Estimate Epidemiological Delay Distributions With brms",
  "Version": "0.4.0",
  "Authors@R": "c(person(given = \"Adam Howes\",\nrole = c(\"aut\"),\nemail = \"adamthowes@gmail.com\",\ncomment = c(ORCID = \"0000-0003-2386-4031\")),\nperson(given = \"Sang Woo\",\nfamily = \"Park\",\nrole = c(\"aut\"),\nemail = \"swp2@princeton.edu\",\ncomment = c(ORCID = \"0000-0003-2202-3361\")),\nperson(given = \"Sam Abbott\",\nrole = c(\"aut\", \"cre\"),\nemail = \"contact@samabbott.co.uk\",\ncomment = c(ORCID = \"0000-0001-8057-8037\")),\nperson(given = \"Sebastian\",\nfamily = \"Funk\",\nrole = c(\"ctb\"),\nemail = \"sebastian.funk@lshtm.ac.uk\",\ncomment = c(ORCID = \"0000-0002-2842-3406\")))",
  "Description": "Understanding and accurately estimating epidemiological\ndelay distributions is important for public health policy.\nThese estimates influence epidemic situational awareness,\ncontrol strategies, and resource allocation. This package\nprovides methods to address the key challenges in estimating\nthese distributions, including truncation, interval censoring,\nand dynamical biases. These issues are frequently overlooked,\nresulting in biased conclusions. Built on top of 'brms', it\nallows for flexible modelling including time-varying spatial\ncomponents and partially pooled estimates of demographic\ncharacteristics.",
  "License": "MIT + file LICENSE",
  "URL": "https://epidist.epinowcast.org/,\nhttps://github.com/epinowcast/epidist/",
  "BugReports": "https://github.com/epinowcast/epidist/issues/",
  "Remotes": [
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  "Repository": "https://epinowcast.r-universe.dev",
  "Date/Publication": "2026-01-15 17:18:16 UTC",
  "RemoteUrl": "https://github.com/epinowcast/epidist",
  "RemoteRef": "v0.4.0",
  "RemoteSha": "be82d80d13114eef315109d05297b3af072a9fd2",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 11:49:35 UTC",
    "User": "root"
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  "Author": "Adam Howes [aut] (ORCID: <https://orcid.org/0000-0003-2386-4031>),\nSang Woo Park [aut] (ORCID: <https://orcid.org/0000-0003-2202-3361>),\nSam Abbott [aut, cre] (ORCID: <https://orcid.org/0000-0001-8057-8037>),\nSebastian Funk [ctb] (ORCID: <https://orcid.org/0000-0002-2842-3406>)",
  "Maintainer": "Sam Abbott <contact@samabbott.co.uk>",
  "MD5sum": "5ffb6cda8ad75840cb6de0e3c3ee1c46",
  "_user": "epinowcast",
  "_type": "src",
  "_file": "epidist_0.4.0.tar.gz",
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  "_created": "2026-06-04T11:49:35.000Z",
  "_published": "2026-06-04T11:54:39.954Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/epinowcast/actions/runs/26949624383",
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    "author": "Sam Abbott <contact@samabbott.co.uk>",
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    "email": "contact@samabbott.co.uk",
    "login": "seabbs",
    "bluesky": "@seabbs.bsky.social",
    "orcid": "0000-0001-8057-8037",
    "description": "Real-time infectious disease modelling. Developing tools and methods for outbreak response, routine surveillance, and pandemic preparedness.",
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    "name": "Epinowcast",
    "description": " A community project building tools for real-time modelling of infectious disease"
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  "_assets": [
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    "extra/contents.json",
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  "_exports": [
    "add_mean_sd",
    "as_epidist_aggregate_data",
    "as_epidist_latent_model",
    "as_epidist_linelist_data",
    "as_epidist_marginal_model",
    "as_epidist_naive_model",
    "assert_epidist",
    "bf",
    "epidist",
    "epidist_diagnostics",
    "epidist_family",
    "epidist_family_model",
    "epidist_family_param",
    "epidist_family_prior",
    "epidist_formula",
    "epidist_formula_model",
    "epidist_gen_posterior_epred",
    "epidist_gen_posterior_predict",
    "epidist_model_prior",
    "epidist_prior",
    "epidist_stancode",
    "epidist_transform_data",
    "epidist_transform_data_model",
    "Gamma",
    "is_epidist_aggregate_data",
    "is_epidist_latent_model",
    "is_epidist_linelist_data",
    "is_epidist_marginal_model",
    "is_epidist_naive_model",
    "lognormal",
    "new_epidist_aggregate_data",
    "new_epidist_latent_model",
    "new_epidist_linelist_data",
    "new_epidist_marginal_model",
    "new_epidist_naive_model",
    "predict_delay_parameters",
    "predict_dpar",
    "simulate_exponential_cases",
    "simulate_gillespie",
    "simulate_secondary",
    "simulate_uniform_cases",
    "weibull"
  ],
  "_datasets": [
    {
      "name": "sierra_leone_ebola_data",
      "title": "Ebola linelist data from Fang et al. (2016)",
      "object": "sierra_leone_ebola_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "age",
        "sex",
        "date_of_symptom_onset",
        "date_of_sample_tested",
        "district",
        "chiefdom"
      ],
      "rows": 8358,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_mean_sd",
      "title": "Add natural scale mean and standard deviation parameters",
      "concept": [
        "postprocess"
      ],
      "topics": [
        "add_mean_sd"
      ]
    },
    {
      "page": "add_mean_sd.default",
      "title": "Default method for add natural scale parameters",
      "concept": [
        "postprocess"
      ],
      "topics": [
        "add_mean_sd.default"
      ]
    },
    {
      "page": "add_mean_sd.gamma_samples",
      "title": "Add natural scale mean and standard deviation parameters for a Gamma model",
      "concept": [
        "postprocess"
      ],
      "topics": [
        "add_mean_sd.gamma_samples"
      ]
    },
    {
      "page": "add_mean_sd.lognormal_samples",
      "title": "Add natural scale mean and standard deviation parameters for a lognormal model",
      "concept": [
        "postprocess"
      ],
      "topics": [
        "add_mean_sd.lognormal_samples"
      ]
    },
    {
      "page": "add_mean_sd.weibull_samples",
      "title": "Add natural scale mean and standard deviation parameters for a Weibull model",
      "concept": [
        "postprocess"
      ],
      "topics": [
        "add_mean_sd.weibull_samples"
      ]
    },
    {
      "page": "as_epidist_aggregate_data",
      "title": "Create an epidist_aggregate_data object",
      "concept": [
        "aggregate_data"
      ],
      "topics": [
        "as_epidist_aggregate_data"
      ]
    },
    {
      "page": "as_epidist_aggregate_data.data.frame",
      "title": "Create an epidist_aggregate_data object from a data.frame",
      "concept": [
        "aggregate_data"
      ],
      "topics": [
        "as_epidist_aggregate_data.data.frame"
      ]
    },
    {
      "page": "as_epidist_aggregate_data.default",
      "title": "Create an epidist_aggregate_data object from vectors of event times",
      "concept": [
        "aggregate_data"
      ],
      "topics": [
        "as_epidist_aggregate_data.default"
      ]
    },
    {
      "page": "as_epidist_aggregate_data.epidist_linelist_data",
      "title": "Convert linelist data to aggregate format",
      "concept": [
        "aggregate_data"
      ],
      "topics": [
        "as_epidist_aggregate_data.epidist_linelist_data"
      ]
    },
    {
      "page": "as_epidist_latent_model",
      "title": "Convert an object to an 'epidist_latent_model' object",
      "concept": [
        "latent_model"
      ],
      "topics": [
        "as_epidist_latent_model"
      ]
    },
    {
      "page": "as_epidist_latent_model.epidist_aggregate_data",
      "title": "The latent model method for 'epidist_aggregate_data' objects",
      "concept": [
        "latent_model"
      ],
      "topics": [
        "as_epidist_latent_model.epidist_aggregate_data"
      ]
    },
    {
      "page": "as_epidist_latent_model.epidist_linelist_data",
      "title": "The latent model method for 'epidist_linelist_data' objects",
      "concept": [
        "latent_model"
      ],
      "topics": [
        "as_epidist_latent_model.epidist_linelist_data"
      ]
    },
    {
      "page": "as_epidist_linelist_data",
      "title": "Create an epidist_linelist_data object",
      "concept": [
        "linelist_data"
      ],
      "topics": [
        "as_epidist_linelist_data"
      ]
    },
    {
      "page": "as_epidist_linelist_data.data.frame",
      "title": "Create an epidist_linelist_data object from a data frame with event dates",
      "concept": [
        "linelist_data"
      ],
      "topics": [
        "as_epidist_linelist_data.data.frame"
      ]
    },
    {
      "page": "as_epidist_linelist_data.default",
      "title": "Create an epidist_linelist_data object from vectors of event times",
      "concept": [
        "linelist_data"
      ],
      "topics": [
        "as_epidist_linelist_data.default"
      ]
    },
    {
      "page": "as_epidist_linelist_data.epidist_aggregate_data",
      "title": "Convert aggregate data to linelist format",
      "concept": [
        "linelist_data"
      ],
      "topics": [
        "as_epidist_linelist_data.epidist_aggregate_data"
      ]
    },
    {
      "page": "as_epidist_marginal_model",
      "title": "Convert an object to an 'epidist_marginal_model' object",
      "concept": [
        "marginal_model"
      ],
      "topics": [
        "as_epidist_marginal_model"
      ]
    },
    {
      "page": "as_epidist_marginal_model.epidist_aggregate_data",
      "title": "The marginal model method for 'epidist_aggregate_data' objects",
      "concept": [
        "marginal_model"
      ],
      "topics": [
        "as_epidist_marginal_model.epidist_aggregate_data"
      ]
    },
    {
      "page": "as_epidist_marginal_model.epidist_linelist_data",
      "title": "The marginal model method for 'epidist_linelist_data' objects",
      "concept": [
        "marginal_model"
      ],
      "topics": [
        "as_epidist_marginal_model.epidist_linelist_data"
      ]
    },
    {
      "page": "as_epidist_naive_model",
      "title": "Convert an object to an 'epidist_naive_model' object",
      "concept": [
        "naive_model"
      ],
      "topics": [
        "as_epidist_naive_model"
      ]
    },
    {
      "page": "as_epidist_naive_model.epidist_aggregate_data",
      "title": "The naive model method for 'epidist_aggregate_data' objects",
      "concept": [
        "naive_model"
      ],
      "topics": [
        "as_epidist_naive_model.epidist_aggregate_data"
      ]
    },
    {
      "page": "as_epidist_naive_model.epidist_linelist_data",
      "title": "The naive model method for 'epidist_linelist_data' objects",
      "concept": [
        "naive_model"
      ],
      "topics": [
        "as_epidist_naive_model.epidist_linelist_data"
      ]
    },
    {
      "page": "assert_epidist",
      "title": "Validation for epidist objects",
      "concept": [
        "assert"
      ],
      "topics": [
        "assert_epidist"
      ]
    },
    {
      "page": "assert_epidist.epidist_aggregate_data",
      "title": "Assert validity of 'epidist_aggregate_data' objects",
      "concept": [
        "aggregate_data"
      ],
      "topics": [
        "assert_epidist.epidist_aggregate_data"
      ]
    },
    {
      "page": "assert_epidist.epidist_linelist_data",
      "title": "Assert validity of 'epidist_linelist_data' objects",
      "concept": [
        "linelist_data"
      ],
      "topics": [
        "assert_epidist.epidist_linelist_data"
      ]
    },
    {
      "page": "epidist",
      "title": "Fit epidemiological delay distributions using a 'brms' interface",
      "concept": [
        "fit"
      ],
      "topics": [
        "epidist"
      ]
    },
    {
      "page": "epidist_diagnostics",
      "title": "Diagnostics for 'epidist_fit' models",
      "concept": [
        "diagnostics"
      ],
      "topics": [
        "epidist_diagnostics"
      ]
    },
    {
      "page": "epidist_family",
      "title": "Define 'epidist' family",
      "concept": [
        "family"
      ],
      "topics": [
        "epidist_family"
      ]
    },
    {
      "page": "epidist_family_model",
      "title": "The model-specific parts of an 'epidist_family()' call",
      "concept": [
        "family",
        "formula"
      ],
      "topics": [
        "epidist_family_model",
        "epidist_formula_model"
      ]
    },
    {
      "page": "epidist_family_model.default",
      "title": "Default method for defining a model specific family",
      "concept": [
        "family"
      ],
      "topics": [
        "epidist_family_model.default"
      ]
    },
    {
      "page": "epidist_family_model.epidist_latent_model",
      "title": "Create the model-specific component of an 'epidist' custom family",
      "concept": [
        "latent_model"
      ],
      "topics": [
        "epidist_family_model.epidist_latent_model"
      ]
    },
    {
      "page": "epidist_family_model.epidist_marginal_model",
      "title": "Create the model-specific component of an 'epidist' custom family",
      "concept": [
        "marginal_model"
      ],
      "topics": [
        "epidist_family_model.epidist_marginal_model"
      ]
    },
    {
      "page": "epidist_family_param",
      "title": "Reparameterise an 'epidist' family to align 'brms' and Stan",
      "concept": [
        "family"
      ],
      "topics": [
        "epidist_family_param"
      ]
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