{
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  "Title": "Tools for Two-Dimensional Monte-Carlo Simulations",
  "Version": "0.2.2",
  "Date": "2026-05-12",
  "Authors@R": "c(person(\"Regis\", \"Pouillot\", role = c(\"aut\", \"cre\"), email = \"rpouillot@yahoo.fr\", comment = c(ORCID = \"0000-0002-6107-5212\")),\nperson(\"Marie-Laure\", \"Delignette-Muller\", role = \"ctb\", email= \"ml.delignette@vetagro-sup.fr\", comment = c(ORCID = \"0000-0001-5453-3994\")),\nperson(\"Jean-Baptiste\", \"Denis\", role = \"ctb\", email = \"jbdenis@jouy.inra.fr\"),\nperson(\"Yu\", \"Chen\", role = \"ctb\", email = \"chen0099yu@gmail.com\"),\nperson(\"Arie\", \"Havelaar\", role = \"ctb\", email = \"ariehavelaar@ufl.edu\", comment = c(ORCID = \"0000-0002-6456-5460\")))",
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  "Description": "A complete framework to build and study Two-Dimensional\nMonte-Carlo simulations, aka Second-Order Monte-Carlo\nsimulations. Also includes various distributions (pert,\ntriangular, Bernoulli, empirical discrete and continuous).",
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  "Author": "Regis Pouillot [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-6107-5212>), Marie-Laure\nDelignette-Muller [ctb] (ORCID:\n<https://orcid.org/0000-0001-5453-3994>), Jean-Baptiste Denis\n[ctb], Yu Chen [ctb], Arie Havelaar [ctb] (ORCID:\n<https://orcid.org/0000-0002-6456-5460>)",
  "Maintainer": "Regis Pouillot <rpouillot@yahoo.fr>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-06-01 19:10:08 UTC",
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    "addvar",
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    "cornode",
    "dbern",
    "dbetagen",
    "dbetasubj",
    "ddirichlet",
    "dempiricalC",
    "dempiricalD",
    "dimmc",
    "dimmcnode",
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    "dmqi",
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    "dpert",
    "dtriang",
    "evalmccut",
    "evalmcmod",
    "extractvar",
    "gghist",
    "ggplotmc",
    "ggspaghetti",
    "ggtornado",
    "ggtornadounc",
    "is.mc",
    "is.mcnode",
    "lhs",
    "mc",
    "mcapply",
    "mcdata",
    "mcdatanocontrol",
    "mcmodel",
    "mcmodelcut",
    "mcprobtree",
    "mcratio",
    "mcstoc",
    "ndunc",
    "ndvar",
    "outm",
    "pbern",
    "pbetagen",
    "pbetasubj",
    "pempiricalC",
    "pempiricalD",
    "plnormb",
    "pmax",
    "pmin",
    "pmqi",
    "ppert",
    "ptriang",
    "qbern",
    "qbetagen",
    "qbetasubj",
    "qempiricalC",
    "qempiricalD",
    "qlnormb",
    "qmqi",
    "qpert",
    "qtriang",
    "rbern",
    "rbetagen",
    "rbetasubj",
    "rdirichlet",
    "rempiricalC",
    "rempiricalD",
    "rlnormb",
    "rmqi",
    "rmultinomial",
    "rmultinormal",
    "rpert",
    "rtriang",
    "rtrunc",
    "spaghetti",
    "tornado",
    "tornadounc",
    "typemcnode",
    "unmc"
  ],
  "_datasets": [
    {
      "name": "ec",
      "title": "An example on Escherichia coli in ground beef",
      "object": "ec",
      "file": "ec.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "total",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mc"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "x0",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "x0M",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xU",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xUM",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xV",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xVM",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xVU",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xVUM",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xVUM2",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "xVUM3",
      "title": "An Example of all Kind of mcnode",
      "object": "total",
      "file": "total.RData",
      "class": [
        "mcnode"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    }
  ],
  "_help": [
    {
      "page": "mc2d-package",
      "title": "mc2d: Tools for Two-Dimensional Monte-Carlo Simulations",
      "topics": [
        "mc2d-package",
        "mc2d"
      ]
    },
    {
      "page": "bernoulli",
      "title": "The Bernoulli Distribution",
      "topics": [
        "bernoulli",
        "dbern",
        "pbern",
        "qbern",
        "rbern"
      ]
    },
    {
      "page": "betagen",
      "title": "The Generalised Beta Distribution",
      "topics": [
        "betagen",
        "dbetagen",
        "pbetagen",
        "qbetagen",
        "rbetagen"
      ]
    },
    {
      "page": "BetaSubjective",
      "title": "The BetaSubjective Distribution",
      "topics": [
        "BetaSubjective",
        "dbetasubj",
        "pbetasubj",
        "qbetasubj",
        "rbetasubj"
      ]
    },
    {
      "page": "converg",
      "title": "Graph of Running Statistics for Convergence Diagnostics",
      "topics": [
        "converg"
      ]
    },
    {
      "page": "cornode",
      "title": "Build a Rank Correlation Using the Iman and Conover Method",
      "topics": [
        "cornode"
      ]
    },
    {
      "page": "dimmcnode",
      "title": "Dimension of mcnode and mc Objects",
      "topics": [
        "dimmc",
        "dimmcnode",
        "is.mc",
        "is.mcnode",
        "typemcnode"
      ]
    },
    {
      "page": "dirichlet",
      "title": "The Dirichlet Distribution",
      "topics": [
        "ddirichlet",
        "dirichlet",
        "rdirichlet"
      ]
    },
    {
      "page": "dmultinomial",
      "title": "The Vectorized Multinomial Distribution",
      "topics": [
        "dmultinomial",
        "rmultinomial"
      ]
    },
    {
      "page": "ec",
      "title": "An example on Escherichia coli in ground beef",
      "topics": [
        "ec",
        "modEC1",
        "modEC2"
      ]
    },
    {
      "page": "empiricalC",
      "title": "The Continuous Empirical Distribution",
      "topics": [
        "dempiricalC",
        "empiricalC",
        "pempiricalC",
        "qempiricalC",
        "rempiricalC"
      ]
    },
    {
      "page": "empiricalD",
      "title": "The Discrete Empirical Distribution",
      "topics": [
        "dempiricalD",
        "empiricalD",
        "pempiricalD",
        "qempiricalD",
        "rempiricalD"
      ]
    },
    {
      "page": "evalmcmod",
      "title": "Evaluates a Monte Carlo Model",
      "topics": [
        "evalmcmod"
      ]
    },
    {
      "page": "extractvar",
      "title": "Utilities for Multivariate Nodes",
      "topics": [
        "addvar",
        "extractvar"
      ]
    },
    {
      "page": "gghist",
      "title": "Histogram of a Monte Carlo Simulation (ggplot version)",
      "topics": [
        "gghist",
        "gghist.mc",
        "gghist.mcnode"
      ]
    },
    {
      "page": "ggplotmc",
      "title": "ggplotmc",
      "topics": [
        "ggplotmc",
        "ggplotmc.mc",
        "ggplotmc.mcnode"
      ]
    },
    {
      "page": "ggspaghetti",
      "title": "Spaghetti Plot of `mc` or `mcnode` Object",
      "topics": [
        "ggspaghetti",
        "ggspaghetti.mc",
        "ggspaghetti.mcnode"
      ]
    },
    {
      "page": "ggtornado",
      "title": "Draws a Tornado chart as provided by tornado (ggplot version).",
      "topics": [
        "ggtornado",
        "ggtornadounc"
      ]
    },
    {
      "page": "hist.mc",
      "title": "Histogram of a Monte Carlo Simulation",
      "topics": [
        "hist.mc",
        "hist.mcnode"
      ]
    },
    {
      "page": "lhs",
      "title": "Random Latin Hypercube Sampling",
      "topics": [
        "lhs"
      ]
    },
    {
      "page": "Lognormalb",
      "title": "The Log Normal Distribution parameterized through its mean and standard deviation.",
      "topics": [
        "dlnormb",
        "Lognormalb",
        "plnormb",
        "qlnormb",
        "rlnormb"
      ]
    },
    {
      "page": "mc",
      "title": "Monte Carlo Object",
      "topics": [
        "mc"
      ]
    },
    {
      "page": "mc.control",
      "title": "Sets or Gets the Default Number of Simulations",
      "topics": [
        "mc.control",
        "ndunc",
        "ndvar"
      ]
    },
    {
      "page": "mcapply",
      "title": "Apply Functions Over mc or mcnode Objects",
      "topics": [
        "mcapply"
      ]
    },
    {
      "page": "mccut",
      "title": "Evaluates a Two-Dimensional Monte Carlo Model in a Loop",
      "topics": [
        "evalmccut",
        "mccut",
        "mcmodelcut",
        "plot.mccut",
        "print.mccut"
      ]
    },
    {
      "page": "mcmodel",
      "title": "Specify a Monte Carlo Model",
      "topics": [
        "mcmodel"
      ]
    },
    {
      "page": "mcnode",
      "title": "Build mcnode Objects from Data",
      "topics": [
        "mcdata",
        "mcdatanocontrol",
        "mcnode"
      ]
    },
    {
      "page": "mcprobtree",
      "title": "Creates a Stochastic mcnode Object Using a Probability Tree",
      "topics": [
        "mcprobtree"
      ]
    },
    {
      "page": "mcratio",
      "title": "Ratio of Uncertainty to Variability",
      "topics": [
        "mcratio"
      ]
    },
    {
      "page": "mcstoc",
      "title": "Creates Stochastic mcnode Objects",
      "topics": [
        "mcstoc"
      ]
    },
    {
      "page": "MinimumQuantileInformation",
      "title": "Minimum Quantile Information Distribution",
      "topics": [
        "dmqi",
        "MinimumQuantileInformation",
        "pmqi",
        "qmqi",
        "rmqi"
      ]
    },
    {
      "page": "multinormal",
      "title": "The Vectorized Multivariate Normal Distribution",
      "topics": [
        "dmultinormal",
        "multinormal",
        "rmultinormal"
      ]
    },
    {
      "page": "NA.mcnode",
      "title": "Finite, Infinite, NA and NaN Numbers in mcnode",
      "topics": [
        "is.finite.mcnode",
        "is.infinite.mcnode",
        "is.na.mcnode",
        "is.nan.mcnode",
        "NA.mcnode"
      ]
    },
    {
      "page": "Ops.mcnode",
      "title": "Operations on mcnode Objects",
      "topics": [
        "Ops.mcnode"
      ]
    },
    {
      "page": "outm",
      "title": "Changes the Output of Nodes",
      "topics": [
        "outm"
      ]
    },
    {
      "page": "pert",
      "title": "The (Modified) PERT Distribution",
      "topics": [
        "dpert",
        "pert",
        "ppert",
        "qpert",
        "rpert"
      ]
    },
    {
      "page": "plot.mc",
      "title": "Plots Results of a Monte Carlo Simulation",
      "topics": [
        "plot.mc",
        "plot.mcnode",
        "plot.plotmc"
      ]
    },
    {
      "page": "plot.tornado",
      "title": "Draw a Tornado Chart",
      "topics": [
        "plot.tornado",
        "plot.tornadounc"
      ]
    },
    {
      "page": "pmin.mcnode",
      "title": "Parallel Maxima and Minima for mcnodes",
      "topics": [
        "pmax",
        "pmax.default",
        "pmax.mcnode",
        "pmin",
        "pmin.default",
        "pmin.mcnode"
      ]
    },
    {
      "page": "print.mc",
      "title": "Print a mcnode or mc Object",
      "topics": [
        "print.mc",
        "print.mcnode"
      ]
    },
    {
      "page": "quantile.mc",
      "title": "Quantiles of a mc or mcnode Object",
      "topics": [
        "quantile.mc",
        "quantile.mcnode"
      ]
    },
    {
      "page": "rtrunc",
      "title": "Random Truncated Distributions",
      "topics": [
        "rtrunc"
      ]
    },
    {
      "page": "spaghetti",
      "title": "Spaghetti Plot of mc/mcnode Object",
      "topics": [
        "spaghetti",
        "spaghetti.mc",
        "spaghetti.mcnode"
      ]
    },
    {
      "page": "summary.mc",
      "title": "Summary of mcnode and mc Object",
      "topics": [
        "print.summary.mc",
        "summary.mc",
        "summary.mccut",
        "summary.mcnode"
      ]
    },
    {
      "page": "tornado",
      "title": "Computes Correlation Between Inputs and Output in the Variability Dimension (Tornado)",
      "topics": [
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    {
      "page": "tornadounc",
      "title": "Computes Correlation Between Inputs and Output in the Uncertainty Dimension (Tornado)",
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        "tornadounc",
        "tornadounc.default",
        "tornadounc.mc",
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      "page": "total",
      "title": "An Example of all Kind of mcnode",
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        "x0M",
        "xU",
        "xUM",
        "xV",
        "xVM",
        "xVU",
        "xVUM",
        "xVUM2",
        "xVUM3"
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    {
      "page": "triangular",
      "title": "The Triangular Distribution",
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        "dtriang",
        "ptriang",
        "qtriang",
        "rtriang",
        "triangular"
      ]
    },
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      "page": "unmc",
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  "_vignettes": [
    {
      "source": "docmcEnglish.Rmd",
      "filename": "docmcEnglish.html",
      "title": "The mc2d package",
      "author": "R. POUILLOT, M.-L. DELIGNETTE-MULLER, D.L. KELLY & J.-B. DENIS",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "What is mc2d?",
        "What is Two-Dimensional Monte-Carlo Simulation (briefly)?",
        "A basic example",
        "One-Dimensional Monte-Carlo Simulation",
        "Two-Dimensional Monte-Carlo Simulation",
        "Basic Principles and Functions",
        "Preliminary Step",
        "The mcnode Object",
        "mcnode Object Structure",
        "The mcstoc function",
        "The mcdata function",
        "Operations on an mcnode",
        "The mcprobtree function",
        "Other functions for constructing an mcnode",
        "Specifying a correlation between mcnodes",
        "The mc Object",
        "The mc function",
        "The mcmodel and evalmcmod functions",
        "The mcmodelcut and evalmccut functions",
        "Analysing an mc Object",
        "The summary function",
        "The hist function",
        "The mcratio function",
        "Other Functions and mc Objects",
        "Multivariate Nodes",
        "Multivariate Nodes for Multivariate Distributions",
        "Multivariate Nodes as a Third Dimension for Multiple Options",
        "Multivariate Nodes as a Third Dimension for Multiple Contaminants",
        "Another Example: A QRA of Waterborne Cryptosporidiosis in France",
        "Tap Water Consumption Model",
        "The Dose-Response Model",
        "The Model",
        "As a Conclusion"
      ],
      "created": "2026-06-01 19:10:08",
      "modified": "2026-06-01 19:10:08",
      "commits": 1
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    {
      "source": "mc2dLmEnglish.Rmd",
      "filename": "mc2dLmEnglish.html",
      "title": "L. monocytogenes in cold-smoked salmon",
      "author": "R. POUILLOT, M.-L. DELIGNETTE-MULLER, M. CORNU",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Including Variability",
        "Specifying Variability Distributions",
        "Initial Contamination",
        "Growth Parameters",
        "Time-Temperature Profiles",
        "Serving Size",
        "Applying the Model",
        "Final Estimate",
        "Including (a Part of the) Uncertainty",
        "Specifying Uncertainty",
        "Prevalence"
      ],
      "created": "2026-06-01 19:10:08",
      "modified": "2026-06-01 19:10:08",
      "commits": 1
    }
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