{
  "_id": "6a253d304b233be1983991e5",
  "Package": "mcgf",
  "Title": "Markov Chain Gaussian Fields Simulation and Parameter Estimation",
  "Version": "1.1.0.9000",
  "Authors@R": "person(\"Tianxia\", \"Jia\", , \"tianxia.jia@ucalgary.ca\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0001-5430-5019\"))",
  "Description": "Simulating and estimating (regime-switching) Markov chain\nGaussian fields with covariance functions of the Gneiting class\n(Gneiting 2002) <doi:10.1198/016214502760047113>. It supports\nparameter estimation by weighted least squares and maximum\nlikelihood methods, and produces Kriging forecasts and\nintervals for existing and new locations.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "Config/testthat/edition": "3",
  "LazyData": "true",
  "URL": "https://github.com/tianxia-jia/mcgf,\nhttps://tianxia-jia.github.io/mcgf/",
  "BugReports": "https://github.com/tianxia-jia/mcgf/issues",
  "VignetteBuilder": "knitr",
  "Repository": "https://tianxia-jia.r-universe.dev",
  "Date/Publication": "2024-06-28 22:56:21 UTC",
  "RemoteUrl": "https://github.com/tianxia-jia/mcgf",
  "RemoteRef": "HEAD",
  "RemoteSha": "ba8dc1234016584c83c8f25edf8054f0ea6e6ee0",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-07 09:39:46 UTC",
    "User": "root"
  },
  "Author": "Tianxia Jia [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0001-5430-5019>)",
  "Maintainer": "Tianxia Jia <tianxia.jia@ucalgary.ca>",
  "MD5sum": "60fb3c4916734d7453ad53e3f20a1606",
  "_user": "tianxia-jia",
  "_type": "src",
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  "_created": "2026-06-07T09:39:46.000Z",
  "_published": "2026-06-07T09:43:12.166Z",
  "_distro": "noble",
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    "author": "tianxia.jia <tianxia.jia@ucalgary.ca>",
    "committer": "tianxia.jia <tianxia.jia@ucalgary.ca>",
    "message": "minor patch\n",
    "time": 1719615381
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    "login": "tianxia-jia",
    "description": "",
    "uuid": 66805685,
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  "_dependencies": [
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      "package": "MASS",
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  "_owner": "tianxia-jia",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 1,
  "_contributors": [
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  "_devurl": "https://github.com/tianxia-jia/mcgf",
  "_pkgdown": "https://tianxia-jia.github.io/mcgf/",
  "_searchresults": 13,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/mcgf.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/tianxia-jia/mcgf",
  "_realowner": "tianxia-jia",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2023-10-31"
    },
    {
      "version": "1.0.1",
      "date": "2024-02-19"
    },
    {
      "version": "1.1.0",
      "date": "2024-04-04"
    },
    {
      "version": "1.1.1",
      "date": "2024-06-29"
    }
  ],
  "_exports": [
    "acf_rs",
    "acfs",
    "acfs<-",
    "add_acfs",
    "add_base",
    "add_ccfs",
    "add_lagr",
    "as.mcgf_rs",
    "base<-",
    "ccf_rs",
    "ccfs",
    "ccfs<-",
    "ccov",
    "cor_cauchy",
    "cor_exp",
    "cor_fs",
    "cor_lagr_askey",
    "cor_lagr_exp",
    "cor_lagr_tri",
    "cor_sep",
    "cor_stat",
    "cor_stat_rs",
    "cor2cov",
    "cor2cov_ar",
    "dists",
    "dists<-",
    "find_dists",
    "find_dists_new",
    "fit_base",
    "fit_lagr",
    "is.mcgf",
    "is.mcgf_rs",
    "krige",
    "krige_new",
    "lagr<-",
    "mcgf",
    "mcgf_rs",
    "mcgf_rs_sim",
    "mcgf_sim",
    "model",
    "rdists",
    "sd_rs",
    "sds",
    "sds<-"
  ],
  "_datasets": [
    {
      "name": "sim1",
      "title": "Simulated Markov chain Gaussian field",
      "object": "sim1",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "sim2",
      "title": "Simulated regime-switching Markov chain Gaussian field",
      "object": "sim2",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "sim3",
      "title": "Simulated regime-switching Markov chain Gaussian field",
      "object": "sim3",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "wind",
      "title": "Ireland wind data, 1961-1978",
      "object": "wind",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "acf_rs",
      "title": "Calculate regime-switching auto-correlation",
      "topics": [
        "acf_rs"
      ]
    },
    {
      "page": "acfs",
      "title": "Generic function for calculating autocorrelation",
      "topics": [
        "acfs"
      ]
    },
    {
      "page": "acfs.mcgf",
      "title": "Extract, calculate, or assign mean auto-correlations for an 'mcgf' or 'mcgf_rs' object",
      "concept": [
        "functions related to calculating acfs and ccfs"
      ],
      "topics": [
        "acfs.mcgf",
        "acfs.mcgf_rs",
        "acfs<-",
        "add_acfs"
      ]
    },
    {
      "page": "add_base",
      "title": "Generic function for adding a base model",
      "topics": [
        "add_base"
      ]
    },
    {
      "page": "add_base.mcgf",
      "title": "Add base model outputted from 'fit_base()' to an 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "add_base.mcgf",
        "base<-"
      ]
    },
    {
      "page": "add_base.mcgf_rs",
      "title": "Add base model outputted from 'fit_base()' to an 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "add_base.mcgf_rs"
      ]
    },
    {
      "page": "add_lagr",
      "title": "Generic function for adding a Lagrangian model",
      "topics": [
        "add_lagr"
      ]
    },
    {
      "page": "add_lagr.mcgf",
      "title": "Add lagr model outputted from 'fit_lagr()' to a 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "add_lagr.mcgf",
        "lagr<-"
      ]
    },
    {
      "page": "add_lagr.mcgf_rs",
      "title": "Add lagr model outputted from 'fit_lagr()' to a 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "add_lagr.mcgf_rs"
      ]
    },
    {
      "page": "ccf_rs",
      "title": "Calculate regime-switching cross-correlation",
      "topics": [
        "ccf_rs"
      ]
    },
    {
      "page": "ccfs",
      "title": "Generic function for calculating cross-correlation",
      "topics": [
        "ccfs"
      ]
    },
    {
      "page": "ccfs.mcgf",
      "title": "Extract, calculate, or assign cross-correlations for an 'mcgf' or 'mcgf_rs' object",
      "concept": [
        "functions related to acfs and ccfs"
      ],
      "topics": [
        "add_ccfs",
        "ccfs.mcgf",
        "ccfs.mcgf_rs",
        "ccfs<-"
      ]
    },
    {
      "page": "ccov",
      "title": "Generic functions for calculating joint covariance/correlation matrix for mcgf objects",
      "topics": [
        "ccov"
      ]
    },
    {
      "page": "ccov.mcgf",
      "title": "Covariance/correlation for joint distribution of an 'mcgf' object",
      "topics": [
        "ccov.mcgf"
      ]
    },
    {
      "page": "ccov.mcgf_rs",
      "title": "Covariance/correlation for joint distribution of an 'mcgf_rs'object",
      "topics": [
        "ccov.mcgf_rs"
      ]
    },
    {
      "page": "cor_cauchy",
      "title": "Calculate Cauchy correlation",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_cauchy"
      ]
    },
    {
      "page": "cor_exp",
      "title": "Calculate exponential correlation",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_exp"
      ]
    },
    {
      "page": "cor_fs",
      "title": "Calculate correlation for fully symmetric model",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_fs"
      ]
    },
    {
      "page": "cor_lagr_askey",
      "title": "Calculate Lagrangian correlation of the Askey form",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_lagr_askey"
      ]
    },
    {
      "page": "cor_lagr_exp",
      "title": "Calculate Lagrangian correlation of the exponential form",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_lagr_exp"
      ]
    },
    {
      "page": "cor_lagr_tri",
      "title": "Calculate Lagrangian correlation of the triangular form",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_lagr_tri"
      ]
    },
    {
      "page": "cor_sep",
      "title": "Calculate correlation for separable model",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_sep"
      ]
    },
    {
      "page": "cor_stat",
      "title": "Calculate general stationary correlation.",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_stat"
      ]
    },
    {
      "page": "cor_stat_rs",
      "title": "Calculate general stationary correlation.",
      "concept": [
        "correlation functions"
      ],
      "topics": [
        "cor_stat_rs"
      ]
    },
    {
      "page": "cor2cov",
      "title": "Convert correlation to covariance",
      "topics": [
        "cor2cov",
        "cor2cov_ar"
      ]
    },
    {
      "page": "dists",
      "title": "Generic function for calculating distance matrices",
      "concept": [
        "functions related to the class"
      ],
      "topics": [
        "dists"
      ]
    },
    {
      "page": "dists.mcgf",
      "title": "Calculating distance matrices for an 'mcgf' object",
      "topics": [
        "dists.mcgf",
        "dists<-",
        "`dists<-`"
      ]
    },
    {
      "page": "find_dists",
      "title": "Calculate (signed) distances between coordinates",
      "topics": [
        "find_dists"
      ]
    },
    {
      "page": "find_dists_new",
      "title": "Calculate (signed) distances between coordinates",
      "topics": [
        "find_dists_new"
      ]
    },
    {
      "page": "fit_base",
      "title": "Fit correlation base models",
      "topics": [
        "fit_base"
      ]
    },
    {
      "page": "fit_base.mcgf",
      "title": "Parameter estimation for symmetric correlation functions for an 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "fit_base.mcgf"
      ]
    },
    {
      "page": "fit_base.mcgf_rs",
      "title": "Parameter estimation for symmetric correlation functions for an 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "fit_base.mcgf_rs"
      ]
    },
    {
      "page": "fit_lagr",
      "title": "Fit correlation Lagrangian models",
      "topics": [
        "fit_lagr"
      ]
    },
    {
      "page": "fit_lagr.mcgf",
      "title": "Parameter estimation for Lagrangian correlation functions for an 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "fit_lagr.mcgf"
      ]
    },
    {
      "page": "fit_lagr.mcgf_rs",
      "title": "Parameter estimation for Lagrangian correlation functions for an 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "fit_lagr.mcgf_rs"
      ]
    },
    {
      "page": "is.mcgf",
      "title": "Check if an object is an 'mcgf' object.",
      "topics": [
        "is.mcgf"
      ]
    },
    {
      "page": "is.mcgf_rs",
      "title": "Check if an object is an 'mcgf_rs' object..",
      "topics": [
        "as.mcgf_rs",
        "is.mcgf_rs"
      ]
    },
    {
      "page": "krige",
      "title": "Generic function for computing kriging forecasts",
      "topics": [
        "krige"
      ]
    },
    {
      "page": "krige_new",
      "title": "Generic function for computing kriging forecasts for new locations",
      "topics": [
        "krige_new"
      ]
    },
    {
      "page": "krige_new.mcgf",
      "title": "Obtain kriging forecasts for new locations for an 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "krige_new.mcgf"
      ]
    },
    {
      "page": "krige_new.mcgf_rs",
      "title": "Obtain kriging forecasts for new locations for an 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "krige_new.mcgf_rs"
      ]
    },
    {
      "page": "krige.mcgf",
      "title": "Obtain kriging forecasts for an 'mcgf' object.",
      "concept": [
        "functions on fitting an mcgf"
      ],
      "topics": [
        "krige.mcgf"
      ]
    },
    {
      "page": "krige.mcgf_rs",
      "title": "Obtain kriging forecasts for an 'mcgf_rs' object.",
      "concept": [
        "functions on fitting an mcgf_rs"
      ],
      "topics": [
        "krige.mcgf_rs"
      ]
    },
    {
      "page": "mcgf",
      "title": "Create mcgf object",
      "topics": [
        "mcgf"
      ]
    },
    {
      "page": "mcgf_rs",
      "title": "Create mcgf_rs object",
      "topics": [
        "mcgf_rs"
      ]
    },
    {
      "page": "mcgf_rs_sim",
      "title": "Simulate regime-switching Markov chain Gaussian field",
      "concept": [
        "simulations of Markov chain Gaussian fields"
      ],
      "topics": [
        "mcgf_rs_sim"
      ]
    },
    {
      "page": "mcgf_sim",
      "title": "Simulate Markov chain Gaussian field",
      "concept": [
        "simulations of Markov chain Gaussian fields"
      ],
      "topics": [
        "mcgf_sim"
      ]
    },
    {
      "page": "model",
      "title": "Generic function for displaying fitted models for 'mcgf' objects",
      "topics": [
        "model"
      ]
    },
    {
      "page": "model.mcgf",
      "title": "Display fitted models for an 'mcgf' or 'mcgf_rs' object",
      "concept": [
        "functions on fitting a mcgf",
        "functions on fitting a mcgf_rs"
      ],
      "topics": [
        "model.mcgf",
        "model.mcgf_rs"
      ]
    },
    {
      "page": "print.mcgf",
      "title": "Print an 'mcgf' object.",
      "topics": [
        "print.mcgf"
      ]
    },
    {
      "page": "rdists",
      "title": "Generate random distance matrices",
      "topics": [
        "rdists"
      ]
    },
    {
      "page": "sd_rs",
      "title": "Calculate standard deviation for each location under each regime.",
      "topics": [
        "sd_rs"
      ]
    },
    {
      "page": "sds",
      "title": "Generic function for standard deviations for each column",
      "topics": [
        "sds"
      ]
    },
    {
      "page": "sds.mcgf",
      "title": "Extract, calculate, or assign standard deviations for an 'mcgf' or 'mcgf_rs' object.",
      "topics": [
        "sds.mcgf",
        "sds.mcgf_rs",
        "sds<-"
      ]
    },
    {
      "page": "sim1",
      "title": "Simulated Markov chain Gaussian field",
      "concept": [
        "(simulated) datasets"
      ],
      "topics": [
        "sim1"
      ]
    },
    {
      "page": "sim2",
      "title": "Simulated regime-switching Markov chain Gaussian field",
      "concept": [
        "(simulated) datasets"
      ],
      "topics": [
        "sim2"
      ]
    },
    {
      "page": "sim3",
      "title": "Simulated regime-switching Markov chain Gaussian field",
      "concept": [
        "(simulated) datasets"
      ],
      "topics": [
        "sim3"
      ]
    },
    {
      "page": "wind",
      "title": "Ireland wind data, 1961-1978",
      "concept": [
        "(simulated) datasets"
      ],
      "topics": [
        "wind"
      ]
    }
  ],
  "_readme": "https://github.com/tianxia-jia/mcgf/raw/HEAD/README.md",
  "_rundeps": [
    "lattice",
    "MASS",
    "sp"
  ],
  "_vignettes": [
    {
      "source": "mcgf.Rmd",
      "filename": "mcgf.html",
      "title": "Steps for fitting an mcgf object",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Irish Wind",
        "Data De-treding",
        "Fitting Covariance Models",
        "Pure Spatial Model",
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