{
  "_id": "6a1d4e241d7bb097a0a442d4",
  "Package": "gRim",
  "Version": "0.3.4",
  "Title": "Graphical Interaction Models",
  "Authors@R": "person(given = \"Søren\",\nfamily = \"Højsgaard\",\nrole = c(\"aut\", \"cre\"),\nemail = \"sorenh@math.aau.dk\")",
  "Maintainer": "Søren Højsgaard <sorenh@math.aau.dk>",
  "Description": "Provides the following types of models: Models for\ncontingency tables (i.e. log-linear models) Graphical Gaussian\nmodels for multivariate normal data (i.e. covariance selection\nmodels) Mixed interaction models. Documentation about 'gRim' is\nprovided by vignettes included in this package and the book by\nHøjsgaard, Edwards and Lauritzen (2012,\n<doi:10.1007/978-1-4614-2299-0>); see 'citation(\"gRim\")' for\ndetails.",
  "License": "GPL (>= 2)",
  "URL": "https://people.math.aau.dk/~sorenh/software/gR/",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr",
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  "RoxygenNote": "7.3.2",
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  "Repository": "https://hojsgaard.r-universe.dev",
  "Date/Publication": "2025-12-15 07:37:47 UTC",
  "RemoteUrl": "https://github.com/hojsgaard/grim",
  "RemoteRef": "HEAD",
  "RemoteSha": "7c37f929b5336f25af6802638902b3652b0cef80",
  "NeedsCompilation": "yes",
  "Packaged": {
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    "User": "root"
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  "Author": "Søren Højsgaard [aut, cre]",
  "MD5sum": "3221c10ec75e8791505d34e0c8f0e98a",
  "_user": "hojsgaard",
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  "_published": "2026-06-01T09:17:24.198Z",
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    "name": "Søren Højsgaard",
    "description": "Statistician, Associate Professor"
  },
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  "_devurl": "https://github.com/hojsgaard/grim",
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  "_topics": [
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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  "_homeurl": "https://github.com/hojsgaard/grim",
  "_realowner": "hojsgaard",
  "_cranurl": true,
  "_releases": [
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      "version": "0.1.0",
      "date": "2011-07-23"
    },
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      "version": "0.1.1",
      "date": "2011-08-01"
    },
    {
      "version": "0.1.2",
      "date": "2011-09-08"
    },
    {
      "version": "0.1.3",
      "date": "2011-12-04"
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    {
      "version": "0.1.4",
      "date": "2011-12-30"
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    {
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    {
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    {
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      "date": "2012-04-01"
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    {
      "version": "0.1-15",
      "date": "2012-12-28"
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    {
      "version": "0.1-16",
      "date": "2013-05-30"
    },
    {
      "version": "0.1-17",
      "date": "2013-08-08"
    },
    {
      "version": "0.2-0",
      "date": "2017-03-31"
    },
    {
      "version": "0.2.1",
      "date": "2020-02-21"
    },
    {
      "version": "0.2.3",
      "date": "2020-06-20"
    },
    {
      "version": "0.2.4",
      "date": "2020-06-26"
    },
    {
      "version": "0.2.5",
      "date": "2020-07-29"
    },
    {
      "version": "0.2.7",
      "date": "2022-04-02"
    },
    {
      "version": "0.2.9",
      "date": "2022-05-12"
    },
    {
      "version": "0.2.10",
      "date": "2022-10-16"
    },
    {
      "version": "0.2.11",
      "date": "2023-08-11"
    },
    {
      "version": "0.3.0",
      "date": "2023-10-02"
    },
    {
      "version": "0.3.1",
      "date": "2024-06-07"
    },
    {
      "version": "0.3.2",
      "date": "2024-06-10"
    },
    {
      "version": "0.3.3",
      "date": "2024-07-19"
    },
    {
      "version": "0.3.4",
      "date": "2024-10-15"
    }
  ],
  "_exports": [
    "as_amat2emat",
    "as_elist2emat",
    "as_emat_complement",
    "as_emat2amat",
    "as_emat2cq",
    "as_emat2elist",
    "as_emat2glist",
    "as_emat2graph",
    "as_emat2igraph",
    "as_glist2cq",
    "as_glist2emat",
    "as_glist2graph",
    "as_glist2igraph",
    "as_glist2out_edges",
    "as_K2amat",
    "as_K2graph",
    "as_sparse",
    "backward",
    "CGstats",
    "ciTest",
    "ciTest_df",
    "ciTest_mvn",
    "ciTest_ordinal",
    "cmod",
    "concentration",
    "dim_loglin",
    "dim_loglin_decomp",
    "dmod",
    "effloglin",
    "emat_compare",
    "emat_complement",
    "emat_sort",
    "extract_cmod_data",
    "fast_cov",
    "fit_ggm_grips",
    "forward",
    "generate_n01",
    "getEdges",
    "getInEdges",
    "getmi",
    "getOutEdges",
    "ggmfit",
    "ggmfitr",
    "glance.gips_fit_class",
    "impose_zero",
    "mmod",
    "model_line",
    "model_loop",
    "model_random",
    "model_random_tree",
    "model_rectangular_grid",
    "model_saturated",
    "model_star",
    "modify_glist",
    "order_rows",
    "parm_CGstats2mmod",
    "parm_ghk2phk",
    "parm_ghk2pms",
    "parm_moment2pms",
    "parm_phk2ghk",
    "parm_phk2pms",
    "parm_pms2ghk",
    "parm_pms2phk",
    "parse_gm_formula",
    "plot",
    "testadd",
    "testdelete",
    "testEdges",
    "testInEdges",
    "testOutEdges"
  ],
  "_help": [
    {
      "page": "cg-stats",
      "title": "Mean, covariance and counts for grouped data (statistics for conditional Gaussian distribution).",
      "topics": [
        "cg-stats",
        "CGstats",
        "CGstats.data.frame"
      ]
    },
    {
      "page": "citest-array",
      "title": "Test for conditional independence in a contingency table",
      "topics": [
        "citest-array",
        "ciTest_table",
        "ci_test_table"
      ]
    },
    {
      "page": "citest-df",
      "title": "Test for conditional independence in a dataframe",
      "topics": [
        "citest-df",
        "ciTest_df"
      ]
    },
    {
      "page": "citest-generic",
      "title": "Test for conditional independence in contingecy table.",
      "topics": [
        "ciTest",
        "citest-generic",
        "ci_test"
      ]
    },
    {
      "page": "citest-mvn",
      "title": "Test for conditional independence in the multivariate normal distribution",
      "topics": [
        "citest-mvn",
        "ciTest_mvn"
      ]
    },
    {
      "page": "citest-ordinal",
      "title": "A function to compute Monte Carlo and asymptotic tests of conditional independence for ordinal and/or nominal variables.",
      "topics": [
        "citest-ordinal",
        "ciTest_ordinal"
      ]
    },
    {
      "page": "cmod",
      "title": "Graphical Gaussian model",
      "topics": [
        "cmod",
        "extract_cmod_data"
      ]
    },
    {
      "page": "coerce_models",
      "title": "Coerce models to different representations",
      "topics": [
        "as_amat2emat",
        "as_elist2emat",
        "as_emat2amat",
        "as_emat2cq",
        "as_emat2elist",
        "as_emat2glist",
        "as_emat2graph",
        "as_emat2igraph",
        "as_emat_complement",
        "as_glist2cq",
        "as_glist2emat",
        "as_glist2graph",
        "as_glist2igraph",
        "as_glist2out_edges",
        "as_K2amat",
        "as_K2graph",
        "as_sparse",
        "coerce_models"
      ]
    },
    {
      "page": "emat_operations",
      "title": "Edge matrix operations",
      "topics": [
        "emat_compare",
        "emat_complement",
        "emat_operations",
        "emat_sort",
        "order_rows"
      ]
    },
    {
      "page": "fast_cov",
      "title": "Fast computation of covariance / correlation matrix",
      "topics": [
        "fast_cov"
      ]
    },
    {
      "page": "fit_ggm_grips",
      "title": "Fit Gaussian graphical models",
      "topics": [
        "fit_ggm_grips"
      ]
    },
    {
      "page": "generate_models",
      "title": "Generate various grapical models",
      "topics": [
        "emat_saturated_model",
        "generate_models",
        "model_line",
        "model_loop",
        "model_random",
        "model_random_tree",
        "model_rectangular_grid",
        "model_saturated",
        "model_star"
      ]
    },
    {
      "page": "generate_n01",
      "title": "Genrate matrix of N(0, 1) variables",
      "topics": [
        "generate_n01"
      ]
    },
    {
      "page": "getEdges",
      "title": "Find edges in a graph or edges not in an undirected graph.",
      "topics": [
        "getEdges",
        "getEdges.graphNEL",
        "getEdges.list",
        "getEdges.matrix",
        "getEdgesMAT",
        "getInEdges",
        "getInEdgesMAT",
        "getOutEdges",
        "getOutEdgesMAT"
      ]
    },
    {
      "page": "ggmfit",
      "title": "Iterative proportional fitting of graphical Gaussian model",
      "topics": [
        "ggmfit",
        "ggmfitr"
      ]
    },
    {
      "page": "imodel-dmod",
      "title": "Discrete interaction model (log-linear model)",
      "topics": [
        "dmod",
        "fitted.dModel",
        "imodel-dmod",
        "print.dModel",
        "residuals.dModel"
      ]
    },
    {
      "page": "imodel-general",
      "title": "General functions related to iModels",
      "topics": [
        "extractAIC.iModel",
        "formula.iModel",
        "imodel-general",
        "isDecomposable.dModel",
        "isGraphical.dModel",
        "logLik.iModel",
        "modelProperties",
        "modelProperties.dModel",
        "print.iModelsummary",
        "summary.iModel",
        "terms.iModel"
      ]
    },
    {
      "page": "imodel-info",
      "title": "Get information about mixed interaction model objects",
      "topics": [
        "getmi",
        "imodel-info"
      ]
    },
    {
      "page": "imodel-mmod",
      "title": "Mixed interaction model.",
      "topics": [
        "coef.mModel",
        "coefficients.mModel",
        "imodel-mmod",
        "mmod",
        "mmod_dimension",
        "print.mModel",
        "summary.mModel"
      ]
    },
    {
      "page": "impose_zero",
      "title": "Impose zeros in matrix entries which do not correspond to an edge.",
      "topics": [
        "impose_zero"
      ]
    },
    {
      "page": "internal",
      "title": "Internal functions for the gRim package",
      "topics": [
        "%>%",
        "internal"
      ]
    },
    {
      "page": "loglin-dim",
      "title": "Return the dimension of a log-linear model",
      "topics": [
        "dim_loglin",
        "dim_loglin_decomp",
        "loglin-dim"
      ]
    },
    {
      "page": "loglin-effloglin",
      "title": "Fitting Log-Linear Models by Message Passing",
      "topics": [
        "effloglin",
        "loglin-effloglin"
      ]
    },
    {
      "page": "modify_glist",
      "title": "Modify generating class for a graphical/hierarchical model",
      "topics": [
        "modify_glist"
      ]
    },
    {
      "page": "parm-conversion",
      "title": "Conversion between different parametrizations of mixed models",
      "topics": [
        "parm-conversion",
        "parm_CGstats2mmod",
        "parm_ghk2phk",
        "parm_ghk2pms",
        "parm_moment2pms",
        "parm_phk2ghk",
        "parm_phk2pms",
        "parm_pms2ghk",
        "parm_pms2phk"
      ]
    },
    {
      "page": "parse_gm_formula",
      "title": "Parse graphical model formula",
      "topics": [
        "parse_gm_formula"
      ]
    },
    {
      "page": "stepwise",
      "title": "Stepwise model selection in (graphical) interaction models",
      "topics": [
        "backward",
        "drop_func",
        "forward",
        "stepwise",
        "stepwise.iModel"
      ]
    },
    {
      "page": "test-edges",
      "title": "Test edges in graphical models with p-value/AIC value",
      "topics": [
        "test-edges",
        "testEdges",
        "testInEdges",
        "testOutEdges"
      ]
    },
    {
      "page": "testadd",
      "title": "Test addition of edge to graphical model",
      "topics": [
        "print.testadd",
        "testadd",
        "testadd.iModel",
        "testadd.mModel"
      ]
    },
    {
      "page": "testdelete",
      "title": "Test deletion of edge from an interaction model",
      "topics": [
        "print.testdelete",
        "testdelete",
        "testdelete.iModel",
        "testdelete.mModel"
      ]
    },
    {
      "page": "utilities_grips",
      "title": "Utilities for gRips",
      "topics": [
        "AIC.gips_fit_class",
        "BIC.gips_fit_class",
        "concentration",
        "concentration.gips_fit_class",
        "glance.gips_fit_class",
        "logLik.gips_fit_class",
        "print.gips_fit_class",
        "sigma.gips_fit_class",
        "summary.gips_fit_class",
        "utilities_grips"
      ]
    }
  ],
  "_readme": "https://github.com/hojsgaard/grim/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "boot",
    "broom",
    "cli",
    "colorspace",
    "cowplot",
    "cpp11",
    "Deriv",
    "doBy",
    "dplyr",
    "farver",
    "forecast",
    "fracdiff",
    "generics",
    "ggplot2",
    "glue",
    "gRain",
    "gRbase",
    "gtable",
    "igraph",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "microbenchmark",
    "modelr",
    "nlme",
    "nnet",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "rlang",
    "S7",
    "scales",
    "stringi",
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    "tibble",
    "tidyr",
    "tidyselect",
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