{
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  "Title": "Plague Transmission Models for Epidemiological Research",
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  "Description": "A toolkit for plague transmission modeling using\nstochastic compartmental models. Implements carcass-based\ntransmission dynamics (Didelot et al. 2017) with spatial\nstructure and multi-host dynamics for epidemiological research.",
  "License": "MIT + file LICENSE",
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  "URL": "https://github.com/flmnh-ai/yersinia,\nhttps://flmnh-ai.github.io/yersinia/",
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  "Repository": "https://flmnh-ai.r-universe.dev",
  "Date/Publication": "2026-09-22 20:13:43 UTC",
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    "prior_default",
    "prior_density",
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    "prior_to_dsl",
    "priors_accordion_server",
    "priors_accordion_ui",
    "priors_default",
    "priors_to_bounds",
    "priors_to_dsl",
    "run_ca",
    "run_diagnostics",
    "run_plague_metapop_model",
    "run_plague_model",
    "status_bar_server",
    "status_bar_ui",
    "summarize_outbreak_metrics",
    "thermal_response",
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    "with_R0_to_beta_r",
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    },
    {
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      "topics": [
        "calculate_equilibrium"
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    },
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      "topics": [
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      "topics": [
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      "topics": [
        "calculate_R0"
      ]
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        "cohort_check_fittable"
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      "topics": [
        "cohort_data"
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    },
    {
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      "topics": [
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    },
    {
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      "topics": [
        "cohort_population"
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    },
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      "title": "Cohort module — server.",
      "topics": [
        "cohort_server"
      ]
    },
    {
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      "title": "Cohort module — UI.",
      "topics": [
        "cohort_ui"
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    },
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      "title": "Names of model parameters configurable from the Virtual Lab UI.",
      "topics": [
        "configurable_param_names"
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    },
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      "title": "Diagnostics strip module — server.",
      "topics": [
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      "title": "Diagnostics strip module — UI.",
      "topics": [
        "diag_strip_ui"
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    },
    {
      "page": "diagnose_bound_piling",
      "title": "Detect posterior mass piling against prior bounds.",
      "topics": [
        "diagnose_bound_piling"
      ]
    },
    {
      "page": "diagnose_chain_stuck",
      "title": "Detect non-mixing chains via R-hat.",
      "topics": [
        "diagnose_chain_stuck"
      ]
    },
    {
      "page": "diagnose_low_kappa",
      "title": "Detect low NegBinomial dispersion ('kappa').",
      "topics": [
        "diagnose_low_kappa"
      ]
    },
    {
      "page": "explore_server",
      "title": "Outbreak explorer — server.",
      "topics": [
        "explore_server"
      ]
    },
    {
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      "title": "Outbreak explorer — UI.",
      "topics": [
        "explore_ui"
      ]
    },
    {
      "page": "hero_server",
      "title": "Hero plot module — server.",
      "topics": [
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      ]
    },
    {
      "page": "hero_ui",
      "title": "Hero plot module — UI.",
      "topics": [
        "hero_ui"
      ]
    },
    {
      "page": "lab_app",
      "title": "Launch the yersinia Virtual Lab Shiny app.",
      "topics": [
        "lab_app"
      ]
    },
    {
      "page": "lab_compare_draws",
      "title": "Marginal posterior draws for several saved fits.",
      "topics": [
        "lab_compare_draws"
      ]
    },
    {
      "page": "lab_compare_expand_stages",
      "title": "Expand a selection so stochastic entries contribute both stages.",
      "topics": [
        "lab_compare_expand_stages"
      ]
    },
    {
      "page": "lab_compare_max",
      "title": "Maximum number of fits comparable at once.",
      "topics": [
        "lab_compare_max"
      ]
    },
    {
      "page": "lab_compare_trajectories",
      "title": "Posterior predictive trajectories for several saved fits.",
      "topics": [
        "lab_compare_trajectories"
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    },
    {
      "page": "lab_fit_assemble",
      "title": "Assemble a deterministic-pilot fit from a LabSession.",
      "topics": [
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    },
    {
      "page": "lab_fit_forward_sim",
      "title": "Posterior predictive forward simulation from a Lab fit.",
      "topics": [
        "lab_fit_forward_sim"
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    },
    {
      "page": "lab_fit_run",
      "title": "Run a deterministic-pilot fit assembled by 'lab_fit_assemble()'.",
      "topics": [
        "lab_fit_run"
      ]
    },
    {
      "page": "lab_fit_run_production",
      "title": "Run a stochastic production fit on top of a deterministic pilot.",
      "topics": [
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    },
    {
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      "title": "Autosave a completed fit.",
      "topics": [
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    },
    {
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      "title": "Delete a saved fit from the library.",
      "topics": [
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    },
    {
      "page": "lab_library_dir",
      "title": "Directory backing the saved-fit library.",
      "topics": [
        "lab_library_dir"
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    {
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      "title": "Slug of the most recently saved fit.",
      "topics": [
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    {
      "page": "lab_library_list",
      "title": "List saved fits in the library.",
      "topics": [
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    },
    {
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      "topics": [
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    {
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      "title": "Promote an autosaved entry to a named keeper.",
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