{
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  "Package": "monty",
  "Title": "Monte Carlo Models",
  "Version": "0.4.14",
  "Authors@R": "c(person(\"Rich\", \"FitzJohn\", role = c(\"aut\", \"cre\"),\nemail = \"rich.fitzjohn@gmail.com\"),\nperson(\"Wes\", \"Hinsley\", role = \"aut\"),\nperson(\"Ed\", \"Knock\", role = \"aut\"),\nperson(\"Marc\", \"Baguelin\", role = \"aut\"),\nperson(\"Imperial College of Science, Technology and Medicine\",\nrole = \"cph\"))",
  "Description": "Experimental sources for the next generation of mcstate,\nnow called 'monty', which will support much of the old mcstate\nfunctionality but new things like better parameter interfaces,\nHamiltonian Monte Carlo, and other features.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://mrc-ide.github.io/monty, https://github.com/mrc-ide/monty",
  "BugReports": "https://github.com/mrc-ide/monty/issues",
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  "Repository": "https://mrc-ide.r-universe.dev",
  "Date/Publication": "2026-07-08 09:20:13 UTC",
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  "Author": "Rich FitzJohn [aut, cre],\nWes Hinsley [aut],\nEd Knock [aut],\nMarc Baguelin [aut],\nImperial College of Science, Technology and Medicine [cph]",
  "Maintainer": "Rich FitzJohn <rich.fitzjohn@gmail.com>",
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    "monty_domain_expand",
    "monty_dsl",
    "monty_dsl_distributions",
    "monty_dsl_error_explain",
    "monty_dsl_parse_distribution",
    "monty_example",
    "monty_flatten_chains",
    "monty_model",
    "monty_model_combine",
    "monty_model_density",
    "monty_model_direct_sample",
    "monty_model_function",
    "monty_model_gradient",
    "monty_model_properties",
    "monty_model_split",
    "monty_observer",
    "monty_packer",
    "monty_packer_grouped",
    "monty_random_beta",
    "monty_random_beta_binomial_ab",
    "monty_random_beta_binomial_prob",
    "monty_random_binomial",
    "monty_random_cauchy",
    "monty_random_exponential_mean",
    "monty_random_exponential_rate",
    "monty_random_gamma_rate",
    "monty_random_gamma_scale",
    "monty_random_hypergeometric",
    "monty_random_log_normal",
    "monty_random_n_beta",
    "monty_random_n_beta_binomial_ab",
    "monty_random_n_beta_binomial_prob",
    "monty_random_n_binomial",
    "monty_random_n_cauchy",
    "monty_random_n_exponential_mean",
    "monty_random_n_exponential_rate",
    "monty_random_n_gamma_rate",
    "monty_random_n_gamma_scale",
    "monty_random_n_hypergeometric",
    "monty_random_n_log_normal",
    "monty_random_n_negative_binomial_mu",
    "monty_random_n_negative_binomial_prob",
    "monty_random_n_normal",
    "monty_random_n_poisson",
    "monty_random_n_real",
    "monty_random_n_truncated_normal",
    "monty_random_n_uniform",
    "monty_random_n_weibull",
    "monty_random_n_zi_negative_binomial_mu",
    "monty_random_n_zi_negative_binomial_prob",
    "monty_random_n_zi_poisson",
    "monty_random_negative_binomial_mu",
    "monty_random_negative_binomial_prob",
    "monty_random_normal",
    "monty_random_poisson",
    "monty_random_real",
    "monty_random_truncated_normal",
    "monty_random_uniform",
    "monty_random_weibull",
    "monty_random_zi_negative_binomial_mu",
    "monty_random_zi_negative_binomial_prob",
    "monty_random_zi_poisson",
    "monty_rng_create",
    "monty_rng_jump",
    "monty_rng_long_jump",
    "monty_rng_set_state",
    "monty_rng_state",
    "monty_runner_callr",
    "monty_runner_parallel",
    "monty_runner_serial",
    "monty_runner_simultaneous",
    "monty_sample",
    "monty_sample_continue",
    "monty_sample_manual_cleanup",
    "monty_sample_manual_collect",
    "monty_sample_manual_info",
    "monty_sample_manual_prepare",
    "monty_sample_manual_prepare_continue",
    "monty_sample_manual_run",
    "monty_sampler",
    "monty_sampler_adaptive",
    "monty_sampler_hmc",
    "monty_sampler_parallel_tempering",
    "monty_sampler_properties",
    "monty_sampler_random_walk",
    "monty_samples_thin",
    "monty_unflatten_chains",
    "with_trace_random"
  ],
  "_help": [
    {
      "page": "monty_differentiation",
      "title": "Differentiate expressions",
      "topics": [
        "monty_differentiation"
      ]
    },
    {
      "page": "monty_domain_expand",
      "title": "Expand (and check) domain against a packer",
      "topics": [
        "monty_domain_expand"
      ]
    },
    {
      "page": "monty_dsl",
      "title": "Domain Specific Language for monty",
      "topics": [
        "monty_dsl"
      ]
    },
    {
      "page": "monty_dsl_distributions",
      "title": "Information about supported distributions",
      "topics": [
        "monty_dsl_distributions"
      ]
    },
    {
      "page": "monty_dsl_error_explain",
      "title": "Explain monty error",
      "topics": [
        "monty_dsl_error_explain"
      ]
    },
    {
      "page": "monty_dsl_parse_distribution",
      "title": "Parse distribution expression",
      "topics": [
        "monty_dsl_parse_distribution"
      ]
    },
    {
      "page": "monty_example",
      "title": "Load example models from monty.  These models exist so that we can create (hopefully) interesting examples in the documentation without them becoming overwhelming.  You should probably not use these for anything other than exploring the package.",
      "topics": [
        "monty_example"
      ]
    },
    {
      "page": "monty_flatten_chains",
      "title": "Flatten chains",
      "topics": [
        "monty_flatten_chains"
      ]
    },
    {
      "page": "monty_model",
      "title": "Create basic model",
      "topics": [
        "monty_model"
      ]
    },
    {
      "page": "monty_model_combine",
      "title": "Combine two models",
      "topics": [
        "monty_model_combine"
      ]
    },
    {
      "page": "monty_model_density",
      "title": "Compute log density",
      "topics": [
        "monty_model_density"
      ]
    },
    {
      "page": "monty_model_direct_sample",
      "title": "Directly sample from a model",
      "topics": [
        "monty_model_direct_sample"
      ]
    },
    {
      "page": "monty_model_function",
      "title": "Create 'monty_model' from a function computing density",
      "topics": [
        "monty_model_function"
      ]
    },
    {
      "page": "monty_model_gradient",
      "title": "Compute gradient of log density",
      "topics": [
        "monty_model_gradient"
      ]
    },
    {
      "page": "monty_model_properties",
      "title": "Describe model properties",
      "topics": [
        "monty_model_properties"
      ]
    },
    {
      "page": "monty_model_split",
      "title": "Split a combined model",
      "topics": [
        "monty_model_split"
      ]
    },
    {
      "page": "monty_observer",
      "title": "Create observer",
      "topics": [
        "monty_observer"
      ]
    },
    {
      "page": "monty_packer",
      "title": "Build a packer",
      "topics": [
        "monty_packer"
      ]
    },
    {
      "page": "monty_packer_grouped",
      "title": "Build a nested packer",
      "topics": [
        "monty_packer_grouped"
      ]
    },
    {
      "page": "monty_random_beta",
      "title": "Sample from beta distribution",
      "topics": [
        "monty_random_beta",
        "monty_random_n_beta"
      ]
    },
    {
      "page": "monty_random_beta_binomial",
      "title": "Sample from beta-binomial distribution",
      "topics": [
        "monty_random_beta_binomial_ab",
        "monty_random_beta_binomial_prob",
        "monty_random_n_beta_binomial_ab",
        "monty_random_n_beta_binomial_prob"
      ]
    },
    {
      "page": "monty_random_binomial",
      "title": "Sample from binomial distribution",
      "topics": [
        "monty_random_binomial",
        "monty_random_n_binomial"
      ]
    },
    {
      "page": "monty_random_cauchy",
      "title": "Sample from Cauchy distribution",
      "topics": [
        "monty_random_cauchy",
        "monty_random_n_cauchy"
      ]
    },
    {
      "page": "monty_random_exponential",
      "title": "Sample from exponential distribution",
      "topics": [
        "monty_random_exponential_mean",
        "monty_random_exponential_rate",
        "monty_random_n_exponential_mean",
        "monty_random_n_exponential_rate"
      ]
    },
    {
      "page": "monty_random_gamma",
      "title": "Sample from a gamma distribution.  There are two parameterisations here, one in terms of rate, and one in terms of scale.",
      "topics": [
        "monty_random_gamma_rate",
        "monty_random_gamma_scale",
        "monty_random_n_gamma_rate",
        "monty_random_n_gamma_scale"
      ]
    },
    {
      "page": "monty_random_hypergeometric",
      "title": "Sample from hypergeometric distribution",
      "topics": [
        "monty_random_hypergeometric",
        "monty_random_n_hypergeometric"
      ]
    },
    {
      "page": "monty_random_log_normal",
      "title": "Sample from log-normal",
      "topics": [
        "monty_random_log_normal",
        "monty_random_n_log_normal"
      ]
    },
    {
      "page": "monty_random_negative_binomial",
      "title": "Sample from negative binomial distribution",
      "topics": [
        "monty_random_negative_binomial_mu",
        "monty_random_negative_binomial_prob",
        "monty_random_n_negative_binomial_mu",
        "monty_random_n_negative_binomial_prob"
      ]
    },
    {
      "page": "monty_random_normal",
      "title": "Sample from normal distribution",
      "topics": [
        "monty_random_normal",
        "monty_random_n_normal"
      ]
    },
    {
      "page": "monty_random_poisson",
      "title": "Sample from Poisson distribution",
      "topics": [
        "monty_random_n_poisson",
        "monty_random_poisson"
      ]
    },
    {
      "page": "monty_random_real",
      "title": "Sample from Uniform(0, 1)",
      "topics": [
        "monty_random_n_real",
        "monty_random_real"
      ]
    },
    {
      "page": "monty_random_truncated_normal",
      "title": "Sample from truncated normal",
      "topics": [
        "monty_random_n_truncated_normal",
        "monty_random_truncated_normal"
      ]
    },
    {
      "page": "monty_random_uniform",
      "title": "Sample from uniform distribution",
      "topics": [
        "monty_random_n_uniform",
        "monty_random_uniform"
      ]
    },
    {
      "page": "monty_random_weibull",
      "title": "Sample from Weibull",
      "topics": [
        "monty_random_n_weibull",
        "monty_random_weibull"
      ]
    },
    {
      "page": "monty_random_zi_negative_binomial",
      "title": "Sample from zero-inflated negative binomial distribution",
      "topics": [
        "monty_random_n_zi_negative_binomial_mu",
        "monty_random_n_zi_negative_binomial_prob",
        "monty_random_zi_negative_binomial_mu",
        "monty_random_zi_negative_binomial_prob"
      ]
    },
    {
      "page": "monty_random_zi_poisson",
      "title": "Sample from zero-inflated Poisson distribution",
      "topics": [
        "monty_random_n_zi_poisson",
        "monty_random_zi_poisson"
      ]
    },
    {
      "page": "monty_rng_create",
      "title": "Create a monty random number generator",
      "topics": [
        "monty_rng_create"
      ]
    },
    {
      "page": "monty_rng_jump",
      "title": "Jump random number state",
      "topics": [
        "monty_rng_jump",
        "monty_rng_long_jump"
      ]
    },
    {
      "page": "monty_rng_state",
      "title": "Get and set random number state",
      "topics": [
        "monty_rng_set_state",
        "monty_rng_state"
      ]
    },
    {
      "page": "monty_runner_callr",
      "title": "Run MCMC chains in parallel with 'callr'",
      "topics": [
        "monty_runner_callr"
      ]
    },
    {
      "page": "monty_runner_parallel",
      "title": "Run MCMC chain in parallel",
      "topics": [
        "monty_runner_parallel"
      ]
    },
    {
      "page": "monty_runner_serial",
      "title": "Run MCMC chain in series",
      "topics": [
        "monty_runner_serial"
      ]
    },
    {
      "page": "monty_runner_simultaneous",
      "title": "Run MCMC chains simultaneously",
      "topics": [
        "monty_runner_simultaneous"
      ]
    },
    {
      "page": "monty_sample",
      "title": "Sample from a model",
      "topics": [
        "monty_sample"
      ]
    },
    {
      "page": "monty_sample_continue",
      "title": "Continue sampling",
      "topics": [
        "monty_sample_continue"
      ]
    },
    {
      "page": "monty_sample_manual_cleanup",
      "title": "Clean up samples",
      "topics": [
        "monty_sample_manual_cleanup"
      ]
    },
    {
      "page": "monty_sample_manual_collect",
      "title": "Collect manually run samples",
      "topics": [
        "monty_sample_manual_collect"
      ]
    },
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