{
  "_id": "6a5b3e079baadeef8ab4d23c",
  "Package": "mcmcr",
  "Title": "Manipulate MCMC Samples",
  "Version": "0.6.2.9007",
  "Authors@R": "c(\nperson(\"Joe\", \"Thorley\", , \"joe@poissonconsulting.ca\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-7683-4592\")),\nperson(\"Kirill\", \"Müller\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0002-1416-3412\")),\nperson(\"Nadine\", \"Hussein\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4470-8361\")),\nperson(\"Ayla\", \"Pearson\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0001-7388-1222\")),\nperson(\"Poisson Consulting\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "Functions and classes to store, manipulate and summarise\nMonte Carlo Markov Chain (MCMC) samples. For more information\nsee Brooks et al. (2011) <isbn:978-1-4200-7941-8>.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/poissonconsulting/mcmcr,\nhttps://poissonconsulting.github.io/mcmcr/",
  "BugReports": "https://github.com/poissonconsulting/mcmcr/issues",
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  "Author": "Joe Thorley [aut, cre] (ORCID: <https://orcid.org/0000-0002-7683-4592>),\nKirill Müller [ctb] (ORCID: <https://orcid.org/0000-0002-1416-3412>),\nNadine Hussein [ctb] (ORCID: <https://orcid.org/0000-0003-4470-8361>),\nAyla Pearson [ctb] (ORCID: <https://orcid.org/0000-0001-7388-1222>),\nPoisson Consulting [cph, fnd]",
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  "_rbuild": "4.6.1",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mcmcr.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/poissonconsulting/mcmcr",
  "_realowner": "poissonconsulting",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.1",
      "date": "2018-04-13"
    },
    {
      "version": "0.0.2",
      "date": "2018-10-30"
    },
    {
      "version": "0.0.3",
      "date": "2018-11-24"
    },
    {
      "version": "0.1.0",
      "date": "2019-04-26"
    },
    {
      "version": "0.2.0",
      "date": "2019-06-27"
    },
    {
      "version": "0.3.0",
      "date": "2020-07-13"
    },
    {
      "version": "0.4.0",
      "date": "2020-09-27"
    },
    {
      "version": "0.5.0",
      "date": "2021-02-11"
    },
    {
      "version": "0.6.0",
      "date": "2021-08-05"
    },
    {
      "version": "0.6.1",
      "date": "2021-09-06"
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      "version": "0.6.2",
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  ],
  "_exports": [
    "as_nlist",
    "as_nlists",
    "as_term",
    "as.mcarray",
    "as.mcmc",
    "as.mcmc.list",
    "as.mcmcarray",
    "as.mcmcr",
    "as.mcmcrs",
    "as.term",
    "bind_chains",
    "bind_dimensions",
    "bind_dimensions_n",
    "bind_iterations",
    "bind_parameters",
    "check_mcmcarray",
    "check_mcmcr",
    "chk_mcmcarray",
    "chk_mcmcr",
    "chk_mcmcrs",
    "coef",
    "collapse_chains",
    "combine_dimensions",
    "combine_samples",
    "combine_samples_n",
    "complete_terms",
    "converged",
    "dims",
    "esr",
    "ess",
    "estimates",
    "fill_all",
    "fill_na",
    "is.mcarray",
    "is.mcmcarray",
    "is.mcmcr",
    "is.mcmcrs",
    "lower",
    "mcmc_aperm",
    "mcmc_map",
    "mcmcrs",
    "median",
    "nchains",
    "niters",
    "nlist",
    "nlists",
    "npars",
    "npdims",
    "nterms",
    "parameters",
    "parameters<-",
    "pars",
    "pars<-",
    "pdims",
    "pvalue",
    "rhat",
    "set_pars",
    "split_chains",
    "svalue",
    "thin",
    "tidy",
    "upper",
    "vld_mcmcarray",
    "vld_mcmcr",
    "vld_mcmcrs",
    "zero",
    "zscore"
  ],
  "_datasets": [
    {
      "name": "mcmcr_example",
      "title": "An example mcmcr object",
      "object": "mcmcr_example",
      "class": [
        "mcmcr"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "as_nlist.mcmcr",
      "title": "Coerce to nlist",
      "topics": [
        "as_nlist.mcmcr"
      ]
    },
    {
      "page": "as_nlists.mcmcr",
      "title": "Coerce to nlists",
      "topics": [
        "as_nlists.mcmcr"
      ]
    },
    {
      "page": "as.mcarray",
      "title": "Coerce to an mcarray object",
      "concept": [
        "coerce"
      ],
      "topics": [
        "as.mcarray",
        "as.mcmcr.list"
      ]
    },
    {
      "page": "as.mcmc.mcarray",
      "title": "Markov Chain Monte Carlo Objects",
      "topics": [
        "as.mcmc.mcarray"
      ]
    },
    {
      "page": "as.mcmc.mcmc",
      "title": "Markov Chain Monte Carlo Objects",
      "topics": [
        "as.mcmc.mcmc"
      ]
    },
    {
      "page": "as.mcmc.mcmcarray",
      "title": "Markov Chain Monte Carlo Objects",
      "topics": [
        "as.mcmc.mcmcarray"
      ]
    },
    {
      "page": "as.mcmc.mcmcr",
      "title": "Markov Chain Monte Carlo Objects",
      "topics": [
        "as.mcmc.mcmcr"
      ]
    },
    {
      "page": "as.mcmc.nlists",
      "title": "Number of Chains",
      "topics": [
        "as.mcmc.nlists"
      ]
    },
    {
      "page": "as.mcmcarray",
      "title": "Coerce to an mcmcarray object",
      "concept": [
        "coerce"
      ],
      "topics": [
        "as.mcmcarray"
      ]
    },
    {
      "page": "as.mcmcr",
      "title": "Convert to an mcmcr object",
      "concept": [
        "coerce"
      ],
      "topics": [
        "as.mcmcr",
        "as.mcmcr.mcarray",
        "as.mcmcr.mcmc",
        "as.mcmcr.mcmc.list",
        "as.mcmcr.mcmcarray",
        "as.mcmcr.mcmcrs",
        "as.mcmcr.nlist",
        "as.mcmcr.nlists"
      ]
    },
    {
      "page": "as.mcmcrs",
      "title": "Convert to an mcmcrs object",
      "topics": [
        "as.mcmcrs",
        "as.mcmcrs.list",
        "as.mcmcrs.mcmcr"
      ]
    },
    {
      "page": "bind_chains.mcarray",
      "title": "Bind by Chains.",
      "topics": [
        "bind_chains.mcarray"
      ]
    },
    {
      "page": "bind_chains.mcmc",
      "title": "Bind by Chains.",
      "topics": [
        "bind_chains.mcmc"
      ]
    },
    {
      "page": "bind_chains.mcmc.list",
      "title": "Bind by Chains.",
      "topics": [
        "bind_chains.mcmc.list"
      ]
    },
    {
      "page": "bind_chains.mcmcarray",
      "title": "Bind by Chains.",
      "topics": [
        "bind_chains.mcmcarray"
      ]
    },
    {
      "page": "bind_chains.mcmcr",
      "title": "Bind by Chains.",
      "topics": [
        "bind_chains.mcmcr"
      ]
    },
    {
      "page": "bind_dimensions",
      "title": "Combine two MCMC objects by dimensions",
      "concept": [
        "bind"
      ],
      "topics": [
        "bind_dimensions"
      ]
    },
    {
      "page": "bind_dimensions_n",
      "title": "Combine multiple MCMC objects by parameter dimensions",
      "concept": [
        "bind"
      ],
      "topics": [
        "bind_dimensions_n"
      ]
    },
    {
      "page": "bind_parameters",
      "title": "Combine two MCMC object by parameters",
      "concept": [
        "bind"
      ],
      "topics": [
        "bind_parameters"
      ]
    },
    {
      "page": "check_mcmcarray",
      "title": "Check mcmcarray *[Deprecated]*",
      "topics": [
        "check_mcmcarray"
      ]
    },
    {
      "page": "check_mcmcr",
      "title": "Check mcmcr *[Deprecated]*",
      "topics": [
        "check_mcmcr"
      ]
    },
    {
      "page": "chk_mcmcr",
      "title": "Check MCMC objects",
      "topics": [
        "chk_mcmcarray",
        "chk_mcmcr",
        "chk_mcmcrs"
      ]
    },
    {
      "page": "coef",
      "title": "Term coefficients",
      "topics": [
        "coef",
        "coef.mcmc"
      ]
    },
    {
      "page": "collapse_chains.mcmcr",
      "title": "Collapse Chains",
      "topics": [
        "collapse_chains.mcmcr"
      ]
    },
    {
      "page": "combine_dimensions",
      "title": "Combine samples by dimensions",
      "concept": [
        "combine"
      ],
      "topics": [
        "combine_dimensions"
      ]
    },
    {
      "page": "combine_samples",
      "title": "Combine MCMC samples of two objects",
      "concept": [
        "combine"
      ],
      "topics": [
        "combine_samples"
      ]
    },
    {
      "page": "combine_samples_n",
      "title": "Combine MCMC samples of multiple objects",
      "concept": [
        "combine"
      ],
      "topics": [
        "combine_samples_n"
      ]
    },
    {
      "page": "converged.default",
      "title": "Converged",
      "topics": [
        "converged.default"
      ]
    },
    {
      "page": "converged.mcmcrs",
      "title": "Converged",
      "topics": [
        "converged.mcmcrs"
      ]
    },
    {
      "page": "esr.mcarray",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcarray"
      ]
    },
    {
      "page": "esr.mcmc",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcmc"
      ]
    },
    {
      "page": "esr.mcmc.list",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcmc.list"
      ]
    },
    {
      "page": "esr.mcmcarray",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcmcarray"
      ]
    },
    {
      "page": "esr.mcmcr",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcmcr"
      ]
    },
    {
      "page": "esr.mcmcrs",
      "title": "Effective Sampling Rate",
      "topics": [
        "esr.mcmcrs"
      ]
    },
    {
      "page": "ess",
      "title": "P-Value effective sample size",
      "topics": [
        "ess"
      ]
    },
    {
      "page": "estimates.mcarray",
      "title": "Estimates",
      "topics": [
        "estimates.mcarray"
      ]
    },
    {
      "page": "estimates.mcmc",
      "title": "Estimates",
      "topics": [
        "estimates.mcmc"
      ]
    },
    {
      "page": "estimates.mcmc.list",
      "title": "Estimates",
      "topics": [
        "estimates.mcmc.list"
      ]
    },
    {
      "page": "estimates.mcmcarray",
      "title": "Estimates",
      "topics": [
        "estimates.mcmcarray"
      ]
    },
    {
      "page": "estimates.mcmcr",
      "title": "Estimates",
      "topics": [
        "estimates.mcmcr"
      ]
    },
    {
      "page": "fill_all.mcarray",
      "title": "Fill All Values",
      "topics": [
        "fill_all.mcarray"
      ]
    },
    {
      "page": "fill_all.mcmcarray",
      "title": "Fill All Values",
      "topics": [
        "fill_all.mcmcarray"
      ]
    },
    {
      "page": "fill_all.mcmcr",
      "title": "Fill All Values",
      "topics": [
        "fill_all.mcmcr"
      ]
    },
    {
      "page": "fill_na.mcarray",
      "title": "Fill Missing Values",
      "topics": [
        "fill_na.mcarray"
      ]
    },
    {
      "page": "fill_na.mcmcarray",
      "title": "Fill Missing Values",
      "topics": [
        "fill_na.mcmcarray"
      ]
    },
    {
      "page": "fill_na.mcmcr",
      "title": "Fill Missing Values",
      "topics": [
        "fill_na.mcmcr"
      ]
    },
    {
      "page": "is.mcarray",
      "title": "Is mcarray object",
      "concept": [
        "is"
      ],
      "topics": [
        "is.mcarray"
      ]
    },
    {
      "page": "is.mcmcarray",
      "title": "Is mcmcarray object",
      "concept": [
        "is"
      ],
      "topics": [
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