{
  "_id": "6a1c03721d7bb097a0a29daa",
  "Package": "geex",
  "Type": "Package",
  "Title": "An API for M-Estimation",
  "Version": "1.1.1",
  "Authors@R": "c(person(\"Bradley\", \"Saul\", role = c(\"aut\", \"cre\"),\nemail = \"bradleysaul@gmail.com\"),\nperson(\"Brian\", \"Barkley\", role = c(\"ctb\")))",
  "Author": "Bradley Saul [aut, cre], Brian Barkley [ctb]",
  "Maintainer": "Bradley Saul <bradleysaul@gmail.com>",
  "Description": "Provides a general, flexible framework for estimating\nparameters and empirical sandwich variance estimator from a set\nof unbiased estimating equations (i.e., M-estimation in the\nvein of Stefanski & Boos (2002)\n<doi:10.1198/000313002753631330>). All examples from Stefanski\n& Boos (2002) are published in the corresponding Journal of\nStatistical Software paper \"The Calculus of M-Estimation in R\nwith geex\" by Saul & Hudgens (2020)\n<doi:10.18637/jss.v092.i02>. Also provides an API to compute\nfinite-sample variance corrections.",
  "URL": "https://github.com/bsaul/geex, https://bsaul.github.io/geex/",
  "BugReports": "https://github.com/bsaul/geex/issues",
  "License": "MIT + file LICENSE",
  "LazyData": "TRUE",
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  "Repository": "https://bsaul.r-universe.dev",
  "Date/Publication": "2024-05-06 18:09:41 UTC",
  "RemoteUrl": "https://github.com/bsaul/geex",
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  "NeedsCompilation": "no",
  "Packaged": {
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  "_created": "2026-05-31T09:42:55.000Z",
  "_published": "2026-05-31T09:46:26.847Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/bsaul/actions/runs/26709110871",
  "_status": "success",
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  "_upstream": "https://github.com/bsaul/geex",
  "_commit": {
    "id": "2ef096f6e90aa6b298f67b0796be5eabbf46d543",
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    "message": "Merge pull request #55 from bsaul/add-help-info\n\nadd link to geex help",
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      "package": "knitr",
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      "package": "dplyr",
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      "package": "inferference",
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      "package": "xtable",
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      "package": "AER",
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      "package": "ICSNP",
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      "package": "gee",
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  "_owner": "bsaul",
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  "_usedby": 5,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "asymptotics",
    "covariance-estimates",
    "covariance-estimation",
    "estimate-parameters",
    "estimating-equations",
    "estimation",
    "inference",
    "m-estimation",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/geex.html",
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    "extra/readme.html",
    "extra/readme.md",
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  "_homeurl": "https://github.com/bsaul/geex",
  "_realowner": "bsaul",
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  "_releases": [
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      "version": "1.0.3",
      "date": "2017-09-04"
    },
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      "version": "1.0.11",
      "date": "2018-09-23"
    },
    {
      "version": "1.0.12",
      "date": "2020-02-17"
    },
    {
      "version": "1.1.1",
      "date": "2022-08-08"
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  ],
  "_exports": [
    "coef",
    "compute_sigma",
    "correct_by",
    "correction",
    "create_basis",
    "create_GFUN",
    "create_psiFUN_list",
    "diagnose_roots",
    "estimate_GFUN_roots",
    "estimate_sandwich_matrices",
    "fay_bias_correction",
    "fay_df_correction",
    "get_corrections",
    "grab",
    "grab_bread",
    "grab_bread_list",
    "grab_design_levels",
    "grab_design_matrix",
    "grab_ee_list",
    "grab_estFUN",
    "grab_fixed_formula",
    "grab_GFUN",
    "grab_meat",
    "grab_meat_list",
    "grab_psiFUN",
    "grab_psiFUN_list",
    "grab_response",
    "grab_response_formula",
    "m_estimate",
    "nobs",
    "roots",
    "setup_approx_control",
    "setup_control",
    "setup_deriv_control",
    "setup_root_control",
    "show",
    "summary",
    "vcov",
    "weights"
  ],
  "_datasets": [
    {
      "name": "geexex",
      "title": "Dataset used to illustrate Stefanski and Boos examples.",
      "object": "geexex",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Y1",
        "Y2",
        "X1",
        "Y3",
        "W1",
        "Z1",
        "X2",
        "Y4",
        "Y5"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "geex-package",
      "title": "geex: M-estimation API",
      "topics": [
        "geex-package",
        "geex"
      ]
    },
    {
      "page": "approx_control-class",
      "title": "approx_control S4 class",
      "topics": [
        "approx_control-class"
      ]
    },
    {
      "page": "basic_control-class",
      "title": "basic_control S4 class",
      "topics": [
        "basic_control-class"
      ]
    },
    {
      "page": "coef-methods",
      "title": "Gets the parameter estimates from a geex object",
      "topics": [
        "coef,geex,geex-method",
        "coef,geex-method",
        "coef,geex_summary-method"
      ]
    },
    {
      "page": "compute_sigma",
      "title": "Compute empirical sandwich covariate estimator",
      "topics": [
        "compute_sigma"
      ]
    },
    {
      "page": "correct_by",
      "title": "Correct sandwich components",
      "topics": [
        "correct_by"
      ]
    },
    {
      "page": "correct_control-class",
      "title": "correct_control S4 class",
      "topics": [
        "correct_control-class"
      ]
    },
    {
      "page": "correction",
      "title": "Creates a correct_control object",
      "topics": [
        "correction"
      ]
    },
    {
      "page": "create_basis",
      "title": "Creates an m_estimation_basis object",
      "topics": [
        "create_basis"
      ]
    },
    {
      "page": "create_GFUN-methods",
      "title": "Creates a function that sums over psi functions",
      "topics": [
        "create_GFUN",
        "create_GFUN,m_estimation_basis,m_estimation_basis-method",
        "create_GFUN,m_estimation_basis-method"
      ]
    },
    {
      "page": "create_psiFUN_list-methods",
      "title": "Creates list of psi functions",
      "topics": [
        "create_psiFUN_list",
        "create_psiFUN_list,m_estimation_basis,m_estimation_basis-method",
        "create_psiFUN_list,m_estimation_basis-method"
      ]
    },
    {
      "page": "deriv_control-class",
      "title": "deriv_control S4 class",
      "topics": [
        "deriv_control-class"
      ]
    },
    {
      "page": "diagnose_roots",
      "title": "Diagnose roots of estimating equations",
      "topics": [
        "diagnose_roots"
      ]
    },
    {
      "page": "estimate_GFUN_roots",
      "title": "Estimate roots for a set of estimating equations",
      "topics": [
        "estimate_GFUN_roots"
      ]
    },
    {
      "page": "estimate_sandwich_matrices",
      "title": "Estimate component matrices of the empirical sandwich covariance estimator",
      "topics": [
        "estimate_sandwich_matrices"
      ]
    },
    {
      "page": "estimating_function-class",
      "title": "estimating_function S4 class",
      "topics": [
        "estimating_function-class"
      ]
    },
    {
      "page": "fay_bias_correction",
      "title": "Correct sandwich variance estimator byFay's bias correction",
      "topics": [
        "fay_bias_correction"
      ]
    },
    {
      "page": "fay_df_correction",
      "title": "Correct sandwich variance inference by Fay's degrees of freedom correction",
      "topics": [
        "fay_df_correction"
      ]
    },
    {
      "page": "geex_control-class",
      "title": "geex_control S4 class",
      "topics": [
        "geex_control-class"
      ]
    },
    {
      "page": "geex_summary-class",
      "title": "geex summary object",
      "topics": [
        "geex_summary-class"
      ]
    },
    {
      "page": "geex-class",
      "title": "geex S4 class",
      "topics": [
        "geex-class"
      ]
    },
    {
      "page": "geexex",
      "title": "Dataset used to illustrate Stefanski and Boos examples.",
      "topics": [
        "geexex"
      ]
    },
    {
      "page": "get_corrections-methods",
      "title": "Gets the corrections from a geex object",
      "topics": [
        "get_corrections",
        "get_corrections,geex-method",
        "get_corrections,geex_summary-method",
        "get_corrections,m_estimation_basis,m_estimation_basis-method"
      ]
    },
    {
      "page": "grab",
      "title": "Grab something from an object",
      "topics": [
        "grab"
      ]
    },
    {
      "page": "grab_bread-methods",
      "title": "Grabs the .A (bread matrix) slot",
      "topics": [
        "grab_bread",
        "grab_bread,sandwich_components,sandwich_components-method",
        "grab_bread,sandwich_components-method"
      ]
    },
    {
      "page": "grab_bread_list-methods",
      "title": "Gets the .A_i (list of bread matrices) slot",
      "topics": [
        "grab_bread_list",
        "grab_bread_list,sandwich_components,sandwich_components-method",
        "grab_bread_list,sandwich_components-method"
      ]
    },
    {
      "page": "grab_design_levels",
      "title": "Grab a list of the levels of factor variables in a model.",
      "topics": [
        "grab_design_levels"
      ]
    },
    {
      "page": "grab_design_matrix",
      "title": "Grab a matrix of fixed effects from a model object",
      "topics": [
        "grab_design_matrix"
      ]
    },
    {
      "page": "grab_ee-methods",
      "title": "Gets the .ee_i (observed estimating function) slot",
      "topics": [
        "grab_ee_list"
      ]
    },
    {
      "page": "grab_estFUN-methods",
      "title": "Grab estimating functions from a model object",
      "topics": [
        "grab_estFUN",
        "grab_estFUN,estimating_function,estimating_function-method",
        "grab_estFUN,estimating_function-method"
      ]
    },
    {
      "page": "grab_fixed_formula",
      "title": "Grab the RHS formula from a model object",
      "topics": [
        "grab_fixed_formula"
      ]
    },
    {
      "page": "grab_GFUN-methods",
      "title": "Gets the .psi_list slot in a m_estimation_basis",
      "topics": [
        "grab_GFUN",
        "grab_GFUN,geex,geex-method",
        "grab_GFUN,geex-method",
        "grab_GFUN,m_estimation_basis,m_estimation_basis-method",
        "grab_GFUN,m_estimation_basis-method"
      ]
    },
    {
      "page": "grab_meat-methods",
      "title": "Gets the .B (meat matrix) slot",
      "topics": [
        "grab_meat",
        "grab_meat,sandwich_components,sandwich_components-method",
        "grab_meat,sandwich_components-method"
      ]
    },
    {
      "page": "grab_meat_list-methods",
      "title": "Gets the .B_i (list of bread matrices) slot",
      "topics": [
        "grab_ee_list,sandwich_components-method",
        "grab_meat_list",
        "grab_meat_list,sandwich_components,sandwich_components-method",
        "grab_meat_list,sandwich_components-method"
      ]
    },
    {
      "page": "grab_psiFUN",
      "title": "Grab estimating functions from a model object",
      "topics": [
        "grab_psiFUN",
        "grab_psiFUN.geeglm",
        "grab_psiFUN.glm",
        "grab_psiFUN.merMod"
      ]
    },
    {
      "page": "grab_psiFUN_list-methods",
      "title": "Gets the .psi_list slot in a m_estimation_basis",
      "topics": [
        "grab_psiFUN_list",
        "grab_psiFUN_list,geex,geex-method",
        "grab_psiFUN_list,geex-method",
        "grab_psiFUN_list,m_estimation_basis,m_estimation_basis-method",
        "grab_psiFUN_list,m_estimation_basis-method"
      ]
    },
    {
      "page": "grab_response",
      "title": "Grab a vector of responses from a model object",
      "topics": [
        "grab_response"
      ]
    },
    {
      "page": "grab_response_formula",
      "title": "Grab the LHS formula from a model object",
      "topics": [
        "grab_response_formula"
      ]
    },
    {
      "page": "m_estimate",
      "title": "Estimate parameters and their covariance from a set of estimating equations",
      "topics": [
        "m_estimate"
      ]
    },
    {
      "page": "m_estimation_basis-class",
      "title": "m_estimation_basis S4 class",
      "topics": [
        "m_estimation_basis-class"
      ]
    },
    {
      "page": "nobs-methods",
      "title": "Extract the number observations",
      "topics": [
        "nobs,geex,geex-method",
        "nobs,geex-method",
        "nobs,geex_summary,geex_summary-method",
        "nobs,geex_summary-method"
      ]
    },
    {
      "page": "root_control-class",
      "title": "root_control S4 class",
      "topics": [
        "root_control-class"
      ]
    },
    {
      "page": "roots-methods",
      "title": "Gets the parameter estimates matrix from a geex object",
      "topics": [
        "roots",
        "roots,geex,geex-method",
        "roots,geex-method",
        "roots,geex_summary-method"
      ]
    },
    {
      "page": "sandwich_components-class",
      "title": "sandwich_components S4 class",
      "topics": [
        "sandwich_components-class"
      ]
    },
    {
      "page": "setup_approx_control",
      "title": "Setup an approx_control object",
      "topics": [
        "setup_approx_control"
      ]
    },
    {
      "page": "setup_control",
      "title": "Setup a basic_control object",
      "topics": [
        "setup_control"
      ]
    },
    {
      "page": "setup_deriv_control",
      "title": "Setup a deriv_control object",
      "topics": [
        "setup_deriv_control"
      ]
    },
    {
      "page": "setup_root_control",
      "title": "Setup a root_control object",
      "topics": [
        "setup_root_control"
      ]
    },
    {
      "page": "show-methods",
      "title": "Show (print) the S4 geex classes",
      "topics": [
        "show",
        "show,geex,geex-method",
        "show,geex-method",
        "show,geex_summary,geex_summary-method",
        "show,geex_summary-method",
        "show,m_estimation_basis,m_estimation_basis-method",
        "show,m_estimation_basis-method",
        "show,sandwich_components,sandwich_components-method",
        "show,sandwich_components-method"
      ]
    },
    {
      "page": "summary-methods",
      "title": "Object Summaries",
      "topics": [
        "summary,geex-method"
      ]
    },
    {
      "page": "vcov-methods",
      "title": "Gets the variance-covariance matrix from a geex object",
      "topics": [
        "vcov,geex,geex-method",
        "vcov,geex-method",
        "vcov,geex_summary,geex_summary-method",
        "vcov,geex_summary-method"
      ]
    },
    {
      "page": "weights-methods",
      "title": "Extract Model weights",
      "topics": [
        "weights,geex,geex-method",
        "weights,geex-method",
        "weights,geex_summary,geex_summary-method",
        "weights,geex_summary-method"
      ]
    }
  ],
  "_readme": "https://github.com/bsaul/geex/raw/HEAD/README.md",
  "_rundeps": [
    "boot",
    "lattice",
    "lme4",
    "MASS",
    "Matrix",
    "minqa",
    "nlme",
    "nloptr",
    "numDeriv",
    "rbibutils",
    "Rcpp",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "rootSolve"
  ],
  "_vignettes": [
    {
      "source": "v02_sandwich_comparison.Rmd",
      "filename": "v02_sandwich_comparison.html",
      "title": "A comparison of geex and sandwich for robust covariance estimation",
      "author": "Bradley Saul",
      "engine": "knitr::rmarkdown",
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