{
  "_id": "6a207ae9cd65a98ecbd17107",
  "Package": "MDgof",
  "Title": "Various Methods for the Goodness-of-Fit Problem in D>1\nDimensions",
  "Version": "1.0.1",
  "Authors@R": "person(\"Wolfgang\", \"Rolke\", , \"wolfgang.rolke@upr.edu\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-3514-726X\"))",
  "Description": "The routine gof_test() in this package runs the\ngoodness-of-fit test using various test statistic for\nmultivariate data. Models under the null hypothesis can either\nbe simple or allow for parameter estimation. p values are found\nvia the parametric bootstrap (simulation). The routine\ngof_test_adjusted_pvalues() runs several tests and then finds a\np value adjusted for simultaneous inference. The routine\ngof_power() allows the estimation of the power of the tests.\nhybrid_test() and hybrid_power() do the same by first\ngenerating a Monte Carlo data set under the null hypothesis and\nthen running a number of two-sample methods. The routine\nrun.studies() allows a user to quickly study the power of a new\nmethod and how it compares to those included in the package via\na large number of case studies. For details of the methods and\nreferences see the included vignettes.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "LazyData": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-06-03 18:59:47 UTC",
    "User": "root"
  },
  "Author": "Wolfgang Rolke [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-3514-726X>)",
  "Maintainer": "Wolfgang Rolke <wolfgang.rolke@upr.edu>",
  "Config/pak/sysreqs": "libglpk-dev libgsl0-dev libxml2-dev",
  "Repository": "https://wolfgangrolke.r-universe.dev",
  "Date/Publication": "2026-06-03 17:23:12 UTC",
  "RemoteUrl": "https://github.com/cran/MDgof",
  "RemoteRef": "HEAD",
  "RemoteSha": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
  "MD5sum": "cc01b09f186278d4159ac6a0a21b8b63",
  "_user": "wolfgangrolke",
  "_type": "src",
  "_file": "MDgof_1.0.1.tar.gz",
  "_fileid": "f3749a1c52346ade60b735e8d4217b54c317306692f8f45d220be53359653367",
  "_filesize": 1160842,
  "_sha256": "f3749a1c52346ade60b735e8d4217b54c317306692f8f45d220be53359653367",
  "_created": "2026-06-03T18:59:47.000Z",
  "_published": "2026-06-03T19:05:13.204Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79372871882,
      "time": 189,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7394135839"
    },
    {
      "job": 79372871984,
      "time": 208,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7394141810"
    },
    {
      "job": 79372872046,
      "time": 215,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394145416"
    },
    {
      "job": 79372871953,
      "time": 196,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394137687"
    },
    {
      "job": 79372871858,
      "time": 110,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7394105971"
    },
    {
      "job": 79372871871,
      "time": 220,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7394146592"
    },
    {
      "job": 79372871842,
      "time": 109,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394105707"
    },
    {
      "job": 79372871825,
      "time": 245,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394156034"
    },
    {
      "job": 79371833633,
      "time": 325,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394062468"
    },
    {
      "job": 79372871818,
      "time": 179,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394131041"
    },
    {
      "job": 79372871794,
      "time": 191,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7394135636"
    },
    {
      "job": 79372871851,
      "time": 158,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7394123396"
    },
    {
      "job": 79372871839,
      "time": 192,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7394136154"
    }
  ],
  "_buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/MDgof",
  "_commit": {
    "id": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
    "author": "Wolfgang Rolke <wolfgang.rolke@upr.edu>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.1\n",
    "time": 1780507392
  },
  "_maintainer": {
    "name": "Wolfgang Rolke",
    "email": "wolfgang.rolke@upr.edu",
    "login": "wolfgangrolke",
    "description": "",
    "uuid": 9784563,
    "orcid": "0000-0002-3514-726X"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "Rcpp",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "microbenchmark",
      "role": "Imports"
    },
    {
      "package": "spatstat.geom",
      "role": "Imports"
    },
    {
      "package": "spatstat.explore",
      "role": "Imports"
    },
    {
      "package": "FNN",
      "role": "Imports"
    },
    {
      "package": "copula",
      "role": "Imports"
    },
    {
      "package": "mvtnorm",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "microbenchmark",
      "role": "Imports"
    },
    {
      "package": "MD2sample",
      "role": "Imports"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-07",
      "n": 1
    },
    {
      "week": "2026-23",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "1.0.0",
      "date": "2026-02-12"
    },
    {
      "name": "1.0.1",
      "date": "2026-06-03"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "wolfgangrolke",
      "count": 2,
      "uuid": 9784563
    }
  ],
  "_userbio": {
    "uuid": 9784563,
    "type": "user",
    "name": "WolfgangRolke"
  },
  "_downloads": {
    "count": 146,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/MDgof"
  },
  "_searchresults": 0,
  "_topics": [
    "cpp"
  ],
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/MDgof.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_realowner": "wolfgangrolke",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2026-02-16"
    },
    {
      "version": "1.0.1",
      "date": "2026-06-03"
    }
  ],
  "_exports": [
    "case.studies",
    "case.studies.cont",
    "case.studies.cont.D5",
    "case.studies.disc",
    "case.studies.est",
    "change.marginals",
    "chi_cont_test",
    "chi_disc_test",
    "chi_power",
    "discretize",
    "draw_case",
    "gen.cop",
    "gof_power",
    "gof_test",
    "gof_test_adjusted_pvalue",
    "hybrid_power",
    "hybrid_test",
    "makeTSextra",
    "newTS",
    "p2dC",
    "power_pvals",
    "RipleyK",
    "run.studies",
    "simpvals",
    "simTS",
    "sq2rec",
    "timecheck",
    "TS_cont",
    "TS_disc"
  ],
  "_datasets": [
    {
      "name": "examples.mdgof.vignette",
      "title": "examples.mdgof.vignette",
      "object": "examples.mdgof.vignette",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "hybrid.mdgof.vignette",
      "title": "hybrid.mdgof.vignette",
      "object": "hybrid.mdgof.vignette",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "power_studies_cont_D5_hybrid_results",
      "title": "power_studies_cont_D5_hybrid_results",
      "object": "power_studies_cont_D5_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN1",
        "NN5",
        "AZ",
        "BF",
        "BG",
        "MMD",
        "FR",
        "NN0",
        "CF1",
        "CF2",
        "CF3",
        "CF4",
        "Ball"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_cont_D5_results",
      "title": "power_studies_cont_D5_results",
      "object": "power_studies_cont_D5_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "power_studies_cont_est_results",
      "title": "power_studies_cont_est_results",
      "object": "power_studies_cont_est_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "power_studies_cont_hybrid_results",
      "title": "power_studies_cont_hybrid_results",
      "object": "power_studies_cont_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN1",
        "NN5",
        "AZ",
        "BF",
        "BG",
        "MMD",
        "FR",
        "NN0",
        "CF1",
        "CF2",
        "CF3",
        "CF4",
        "Ball",
        "ES",
        "EP"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_cont_nMC5_D5_hybrid_results",
      "title": "power_studies_cont_nMC5_D5_hybrid_results",
      "object": "power_studies_cont_nMC5_D5_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN1",
        "NN5",
        "AZ",
        "BF",
        "BG",
        "MMD",
        "FR",
        "NN0",
        "CF1",
        "CF2",
        "CF3",
        "CF4",
        "Ball"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_cont_nMC5_hybrid_results",
      "title": "power_studies_cont_nMC5_hybrid_results",
      "object": "power_studies_cont_nMC5_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN1",
        "NN5",
        "AZ",
        "BF",
        "BG",
        "MMD",
        "FR",
        "NN0",
        "CF1",
        "CF2",
        "CF3",
        "CF4",
        "Ball",
        "ES",
        "EP"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_cont_results",
      "title": "power_studies_cont_results",
      "object": "power_studies_cont_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "power_studies_disc_est_results",
      "title": "power_studies_disc_est_results",
      "object": "power_studies_disc_est_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "power_studies_disc_hybrid_results",
      "title": "power_studies_disc_hybrid_results",
      "object": "power_studies_disc_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN",
        "AZ",
        "BF",
        "Chisquare"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_disc_nMC5_hybrid_results",
      "title": "power_studies_disc_nMC5_hybrid_results",
      "object": "power_studies_disc_nMC5_hybrid_results",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "KS",
        "K",
        "CvM",
        "AD",
        "NN",
        "AZ",
        "BF",
        "Chisquare"
      ],
      "rows": 30,
      "table": true,
      "tojson": true
    },
    {
      "name": "power_studies_disc_results",
      "title": "power_studies_disc_results",
      "object": "power_studies_disc_results",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bakshaev_rudzkis",
      "title": "Run Bakshaev and Rudzkis Test",
      "topics": [
        "bakshaev_rudzkis"
      ]
    },
    {
      "page": "case.studies",
      "title": "Create various case studies",
      "topics": [
        "case.studies"
      ]
    },
    {
      "page": "case.studies.cont",
      "title": "Create various case studies for continuous data without parameter estimation",
      "topics": [
        "case.studies.cont"
      ]
    },
    {
      "page": "case.studies.cont.D5",
      "title": "Create various case studies for continuous data in 5 dimensions without parameter estimation",
      "topics": [
        "case.studies.cont.D5"
      ]
    },
    {
      "page": "case.studies.disc",
      "title": "Discretize 2D data from case studies",
      "topics": [
        "case.studies.disc"
      ]
    },
    {
      "page": "case.studies.est",
      "title": "Create various case studies with parameter estimation",
      "topics": [
        "case.studies.est"
      ]
    },
    {
      "page": "check.functions",
      "title": "Sanity Checks",
      "topics": [
        "check.functions"
      ]
    },
    {
      "page": "chi_cont_test",
      "title": "Chi-square test for 2D data",
      "topics": [
        "chi_cont_test"
      ]
    },
    {
      "page": "chi_disc_test",
      "title": "Chi-square test for discrete 2D data",
      "topics": [
        "chi_disc_test"
      ]
    },
    {
      "page": "chi_power",
      "title": "Power Estimation of Chi Square Tests",
      "topics": [
        "chi_power"
      ]
    },
    {
      "page": "compute_M_for_dtaset",
      "title": "Compute M statistic for one dtaset",
      "topics": [
        "compute_M_for_dtaset"
      ]
    },
    {
      "page": "discretize",
      "title": "Bins continuous data",
      "topics": [
        "discretize"
      ]
    },
    {
      "page": "draw_case",
      "title": "Create plot for any case study",
      "topics": [
        "draw_case"
      ]
    },
    {
      "page": "estimateEV",
      "title": "Estimate E and Var/n at Eval for given h, using MC from rnull",
      "topics": [
        "estimateEV"
      ]
    },
    {
      "page": "examples.mdgof.vignette",
      "title": "examples.mdgof.vignette",
      "topics": [
        "examples.mdgof.vignette"
      ]
    },
    {
      "page": "gauss_kernel_matrix",
      "title": "Find gaussian kernel pdf",
      "topics": [
        "gauss_kernel_matrix"
      ]
    },
    {
      "page": "gen_eval",
      "title": "Find evaluation points",
      "topics": [
        "gen_eval"
      ]
    },
    {
      "page": "gen.cop",
      "title": "Create copula objects",
      "topics": [
        "gen.cop"
      ]
    },
    {
      "page": "gof_power",
      "title": "Power estimation of goodness-of-fit tests.",
      "topics": [
        "gof_power"
      ]
    },
    {
      "page": "gof_test",
      "title": "Tests for the multivariate goodness-of-fit problem",
      "topics": [
        "gof_test"
      ]
    },
    {
      "page": "gof_test_adjusted_pvalue",
      "title": "Adjusted p values",
      "topics": [
        "gof_test_adjusted_pvalue"
      ]
    },
    {
      "page": "grad_mat",
      "title": "Find gradient of log(f) for a matrix of points",
      "topics": [
        "grad_mat"
      ]
    },
    {
      "page": "hybrid_power",
      "title": "Power Estimation for the multivariate goodness-of-fit problem via twosample tests",
      "topics": [
        "hybrid_power"
      ]
    },
    {
      "page": "hybrid_test",
      "title": "Tests for the multivariate goodness-of-fit problem via twosample tests",
      "topics": [
        "hybrid_test"
      ]
    },
    {
      "page": "hybrid.mdgof.vignette",
      "title": "hybrid.mdgof.vignette",
      "topics": [
        "hybrid.mdgof.vignette"
      ]
    },
    {
      "page": "ksd",
      "title": "Find test statistic for Kernel Stein Discrepancy test",
      "topics": [
        "ksd"
      ]
    },
    {
      "page": "makeTSextra",
      "title": "Create list with needed info",
      "topics": [
        "makeTSextra"
      ]
    },
    {
      "page": "newTS",
      "title": "Example for a new test",
      "topics": [
        "newTS"
      ]
    },
    {
      "page": "p2dC",
      "title": "Find probabilities from cdf for discrete data",
      "topics": [
        "p2dC"
      ]
    },
    {
      "page": "power_studies_cont_D5_hybrid_results",
      "title": "power_studies_cont_D5_hybrid_results",
      "topics": [
        "power_studies_cont_D5_hybrid_results"
      ]
    },
    {
      "page": "power_studies_cont_D5_results",
      "title": "power_studies_cont_D5_results",
      "topics": [
        "power_studies_cont_D5_results"
      ]
    },
    {
      "page": "power_studies_cont_est_results",
      "title": "power_studies_cont_est_results",
      "topics": [
        "power_studies_cont_est_results"
      ]
    },
    {
      "page": "power_studies_cont_hybrid_results",
      "title": "power_studies_cont_hybrid_results",
      "topics": [
        "power_studies_cont_hybrid_results"
      ]
    },
    {
      "page": "power_studies_cont_nMC5_D5_hybrid_results",
      "title": "power_studies_cont_nMC5_D5_hybrid_results",
      "topics": [
        "power_studies_cont_nMC5_D5_hybrid_results"
      ]
    },
    {
      "page": "power_studies_cont_nMC5_hybrid_results",
      "title": "power_studies_cont_nMC5_hybrid_results",
      "topics": [
        "power_studies_cont_nMC5_hybrid_results"
      ]
    },
    {
      "page": "power_studies_cont_results",
      "title": "power_studies_cont_results",
      "topics": [
        "power_studies_cont_results"
      ]
    },
    {
      "page": "power_studies_disc_est_results",
      "title": "power_studies_disc_est_results",
      "topics": [
        "power_studies_disc_est_results"
      ]
    },
    {
      "page": "power_studies_disc_hybrid_results",
      "title": "power_studies_disc_hybrid_results",
      "topics": [
        "power_studies_disc_hybrid_results"
      ]
    },
    {
      "page": "power_studies_disc_nMC5_hybrid_results",
      "title": "power_studies_disc_nMC5_hybrid_results",
      "topics": [
        "power_studies_disc_nMC5_hybrid_results"
      ]
    },
    {
      "page": "power_studies_disc_results",
      "title": "power_studies_disc_results",
      "topics": [
        "power_studies_disc_results"
      ]
    },
    {
      "page": "RipleyK",
      "title": "Ripley's K function test",
      "topics": [
        "RipleyK"
      ]
    },
    {
      "page": "run.studies",
      "title": "Benchmarking for Multivariate Goodness-of-fit Tests",
      "topics": [
        "run.studies"
      ]
    },
    {
      "page": "signif.digits",
      "title": "This function does some rounding to nice numbers",
      "topics": [
        "signif.digits"
      ]
    },
    {
      "page": "sq2rec",
      "title": "Rearrange 2D discrete data",
      "topics": [
        "sq2rec"
      ]
    },
    {
      "page": "timecheck",
      "title": "estimate run time function",
      "topics": [
        "timecheck"
      ]
    },
    {
      "page": "TS_cont",
      "title": "Find test statistics for continuous data",
      "topics": [
        "TS_cont"
      ]
    },
    {
      "page": "TS_disc",
      "title": "Find test statistics for discrete data",
      "topics": [
        "TS_disc"
      ]
    }
  ],
  "_rundeps": [
    "abind",
    "ade4",
    "ADGofTest",
    "Ball",
    "cli",
    "cluster",
    "codetools",
    "colorspace",
    "copula",
    "cpp11",
    "deldir",
    "farver",
    "FNN",
    "foreach",
    "gam",
    "ggplot2",
    "glue",
    "goftest",
    "gsl",
    "gtable",
    "gTests",
    "igraph",
    "isoband",
    "iterators",
    "labeling",
    "lattice",
    "lifecycle",
    "lsa",
    "magrittr",
    "MASS",
    "Matrix",
    "MD2sample",
    "microbenchmark",
    "mvtnorm",
    "nlme",
    "numDeriv",
    "pcaPP",
    "pixmap",
    "pkgconfig",
    "polyclip",
    "pspline",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rlang",
    "S7",
    "scales",
    "SnowballC",
    "sp",
    "spatstat.data",
    "spatstat.explore",
    "spatstat.geom",
    "spatstat.random",
    "spatstat.sparse",
    "spatstat.univar",
    "spatstat.utils",
    "stabledist",
    "survival",
    "tensor",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "14.2.0-4ubuntu2~24.04.1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "MDgof-Case-Studies.Rmd",
      "filename": "MDgof-Case-Studies.html",
      "title": "MDgof-Case-Studies",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Continuous Data, dim=2, equal marginals, no parameter estimation",
        "Continuous Data, dim=2, unequal marginals, no parameter estimation",
        "Continuous Data, dim=2, equal marginals, with parameter estimation",
        "Continuous Data, dim=2, unequal marginals, with parameter estimation",
        "Continuous Data, dim=5, equal marginals, no parameter estimation",
        "Continuous Data, dim=5, unequal marginals, no parameter estimation",
        "Discrete data"
      ],
      "created": "2026-02-12 20:40:03",
      "modified": "2026-02-12 20:40:03",
      "commits": 1
    },
    {
      "source": "MDgof-Examples.Rmd",
      "filename": "MDgof-Examples.html",
      "title": "MDgof-Examples",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Example 1: Continuous data without parameter estimation",
        "Example 2: Continuous data with parameter estimation",
        "New Tests",
        "Example 3",
        "Adjusted p values",
        "Power Estimation",
        "Example 4",
        "Discrete Data",
        "Example 5",
        "Example 6",
        "User supplied tests",
        "Example 7",
        "Benchmarking",
        "Example 8"
      ],
      "created": "2026-02-12 20:40:03",
      "modified": "2026-02-12 20:40:03",
      "commits": 1
    },
    {
      "source": "MDgof-hybrid.Rmd",
      "filename": "MDgof-hybrid.html",
      "title": "MDgof-hybrid",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Example 1: Continuous data without parameter estimation",
        "Example 2: Continuous data with parameter estimation",
        "New Tests",
        "Example 3",
        "Power Estimation",
        "Example 4",
        "Discrete Data",
        "Example 5",
        "User supplied tests",
        "Example 7"
      ],
      "created": "2026-02-12 20:40:03",
      "modified": "2026-02-12 20:40:03",
      "commits": 1
    },
    {
      "source": "MDgof-Methods.Rmd",
      "filename": "MDgof-Methods.html",
      "title": "MDgof-Methods",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Continuous data",
        "Tests based on a comparison of the theoretical and the empirical distribution function.",
        "Tests based on the Rosenblatt transform.",
        "Discrete data",
        "Methods based on the empirical distribution fuction.",
        "Methods based on the density",
        "References"
      ],
      "created": "2026-02-12 20:40:03",
      "modified": "2026-02-12 20:40:03",
      "commits": 1
    }
  ],
  "_score": 2.9030899869919438,
  "_indexed": true,
  "_nocasepkg": "mdgof",
  "_universes": [
    "wolfgangrolke"
  ],
  "_previous": "1.0.0",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-06-03T19:02:56.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "c01dbb38485cdf9b86c69e6ceac6e320127f243505843c2ef134353ceedc4ba6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:08.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "7da6064ee9506e2b7a4113aeb618fea16a503390cb575478b02fefd854ee6de0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:23.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "ffe145bc7db467325fa920c931fbcbcc9c4f90db7efe438e60a2e98f0ea14e2c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:01.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "16f79333a608658082d6526c79dc00378ffa32970792e27f7f042e2726ffe70b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.1",
      "date": "2026-06-03T19:01:56.000Z",
      "arch": "aarch64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "712ac362f54afd83d6e8cc49f40103f02b91fdf26985754a7058302bc370c920",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:03.000Z",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "166fb90ef6ec28d0d3090be1452fb85ef549012dd53114c7db63136fe1bee71b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.1",
      "date": "2026-06-03T19:01:54.000Z",
      "arch": "aarch64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "2f40739db6ffd1b25ad647fd9f70d7b405c7664c46a92ba2c1acec02c3d33aa7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:17.000Z",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "a41f8804f99f070ddb1eb9634163bb3135a7005eab9888477f24cb20dff253f1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.1",
      "date": "2026-06-03T19:03:16.000Z",
      "arch": "emscripten",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "77b4e20df0cb3c68d858b09b01c5967c6fbce095db800eeec05025d8365156c9",
      "status": "success",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-06-03T19:02:03.000Z",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "b7094deb7a73f00e721e2ff0076d4c277f2433e74458a1d6a9acb2309a27aa8f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-06-03T19:01:49.000Z",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "e13823f9312899c7f49aa9af1e95f550fd59c5330e4f79eea5f24e23ce69687b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.0.1",
      "date": "2026-06-03T19:01:47.000Z",
      "arch": "x86_64",
      "commit": "e47eef4f66f6e4cd6ffc55fb493b7ce772acbbb8",
      "fileid": "077b45c09f986bf67b5ce71242386d7e93b6d60e8377c1268e21f1c242074c40",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/wolfgangrolke/actions/runs/26906231919"
    }
  ]
}