{
  "_id": "6a1fd17eb401979e734356b8",
  "Package": "clubSandwich",
  "Title": "Cluster-Robust (Sandwich) Variance Estimators with Small-Sample\nCorrections",
  "Version": "0.7.0.9000",
  "Authors@R": "c(\nperson(c(\"James\",\"E.\"), \"Pustejovsky\", email = \"jepusto@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-0591-9465\")),\nperson(\"Hazim\", \"Izani\", email = \"hazimizani@gmail.com\", role = \"ctb\"),\nperson(\"Samuel\", \"Pekofsky\", email = \"sampekofsky@gmail.com\", role = \"ctb\"),\nperson(\"Jingru\", \"Zhang\", email = \"jz26372022@hotmail.com\", role = \"ctb\")\n)",
  "Description": "Provides several cluster-robust variance estimators (i.e.,\nsandwich estimators) for ordinary and weighted least squares\nlinear regression models, including the bias-reduced\nlinearization estimator introduced by Bell and McCaffrey (2002)\n<https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf>\nand developed further by Pustejovsky and Tipton (2017)\n<DOI:10.1080/07350015.2016.1247004>. The package includes\nfunctions for estimating the variance- covariance matrix and\nfor testing single- and multiple- contrast hypotheses based on\nWald test statistics. Tests of single regression coefficients\nuse Satterthwaite or saddle-point corrections. Tests of\nmultiple- contrast hypotheses use an approximation to\nHotelling's T-squared distribution. Methods are provided for a\nvariety of fitted models, including lm() and mlm objects;\nglm(); geeglm() (from package 'geepack'); lm_robust(),\nlm_lin(), and iv_robust() (from package 'estimatr'); ivreg()\n(from package 'AER'); ivreg() (from package 'ivreg' when\nestimated by ordinary least squares); plm() (from package\n'plm'); gls() and lme() (from 'nlme'); lmer() (from `lme4`);\nrobu() (from 'robumeta'); rma.uni() and rma.mv() (from\n'metafor'); and mmrm() (from 'mmrm').",
  "URL": "http://jepusto.github.io/clubSandwich/",
  "BugReports": "https://github.com/jepusto/clubSandwich/issues",
  "License": "GPL-3",
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  "Encoding": "UTF-8",
  "Language": "en-US",
  "Repository": "https://jepusto.r-universe.dev",
  "Date/Publication": "2026-05-04 14:04:01 UTC",
  "RemoteUrl": "https://github.com/jepusto/clubsandwich",
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  "Packaged": {
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    "User": "root"
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  "Author": "James E. Pustejovsky [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0591-9465>),\nHazim Izani [ctb],\nSamuel Pekofsky [ctb],\nJingru Zhang [ctb]",
  "Maintainer": "James E. Pustejovsky <jepusto@gmail.com>",
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    "constrain_pairwise",
    "constrain_zero",
    "findCluster.rma.mv",
    "impute_covariance_matrix",
    "linear_contrast",
    "pattern_covariance_matrix",
    "vcovCR",
    "Wald_test"
  ],
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      "name": "AchievementAwardsRCT",
      "title": "Achievement Awards Demonstration program",
      "object": "AchievementAwardsRCT",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
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        "school_type",
        "pair",
        "treated",
        "year",
        "student_id",
        "sex",
        "siblings",
        "immigrant",
        "father_ed",
        "mother_ed",
        "Bagrut_status",
        "attempted",
        "awarded",
        "achv_math",
        "achv_english",
        "achv_hebrew",
        "lagscore",
        "qrtl",
        "half"
      ],
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      "object": "dropoutPrevention",
      "class": [
        "data.frame"
      ],
      "fields": [
        "LOR1",
        "varLOR",
        "studyID",
        "studySample",
        "study_design",
        "outcome",
        "evaluator_independence",
        "implementation_quality",
        "program_site",
        "attrition",
        "group_equivalence",
        "adjusted",
        "male_pct",
        "white_pct",
        "average_age",
        "duration",
        "service_hrs",
        "big_study"
      ],
      "rows": 385,
      "table": true,
      "tojson": true
    },
    {
      "name": "MortalityRates",
      "title": "State-level annual mortality rates by cause among 18-20 year-olds",
      "object": "MortalityRates",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "state",
        "count",
        "pop",
        "legal",
        "beertaxa",
        "beerpercap",
        "winepercap",
        "spiritpercap",
        "totpercap",
        "mrate",
        "cause"
      ],
      "rows": 5508,
      "table": true,
      "tojson": true
    },
    {
      "name": "SATcoaching",
      "title": "Randomized experiments on SAT coaching",
      "object": "SATcoaching",
      "class": [
        "data.frame"
      ],
      "fields": [
        "study",
        "year",
        "test",
        "d",
        "V",
        "nT",
        "nC",
        "study_type",
        "hrs",
        "ETS",
        "homework"
      ],
      "rows": 67,
      "table": true,
      "tojson": true
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  ],
  "_help": [
    {
      "page": "AchievementAwardsRCT",
      "title": "Achievement Awards Demonstration program",
      "topics": [
        "AchievementAwardsRCT"
      ]
    },
    {
      "page": "coef_test",
      "title": "Test all or selected regression coefficients in a fitted model",
      "topics": [
        "coef_test"
      ]
    },
    {
      "page": "conf_int",
      "title": "Calculate confidence intervals for all or selected regression coefficients in a fitted model",
      "topics": [
        "conf_int"
      ]
    },
    {
      "page": "constraint_matrices",
      "title": "Create constraint matrices",
      "topics": [
        "constraint_matrices",
        "constrain_equal",
        "constrain_pairwise",
        "constrain_zero"
      ]
    },
    {
      "page": "dropoutPrevention",
      "title": "Dropout prevention/intervention program effects",
      "topics": [
        "dropoutPrevention"
      ]
    },
    {
      "page": "findCluster.rma.mv",
      "title": "Detect cluster structure of an rma.mv object",
      "topics": [
        "findCluster.rma.mv"
      ]
    },
    {
      "page": "impute_covariance_matrix",
      "title": "Impute a block-diagonal covariance matrix",
      "topics": [
        "impute_covariance_matrix"
      ]
    },
    {
      "page": "linear_contrast",
      "title": "Calculate confidence intervals and p-values for linear contrasts of regression coefficients in a fitted model",
      "topics": [
        "linear_contrast"
      ]
    },
    {
      "page": "MortalityRates",
      "title": "State-level annual mortality rates by cause among 18-20 year-olds",
      "topics": [
        "MortalityRates"
      ]
    },
    {
      "page": "pattern_covariance_matrix",
      "title": "Impute a patterned block-diagonal covariance matrix",
      "topics": [
        "pattern_covariance_matrix"
      ]
    },
    {
      "page": "SATcoaching",
      "title": "Randomized experiments on SAT coaching",
      "topics": [
        "SATcoaching"
      ]
    },
    {
      "page": "vcovCR",
      "title": "Cluster-robust variance-covariance matrix",
      "topics": [
        "vcovCR",
        "vcovCR.default"
      ]
    },
    {
      "page": "vcovCR.geeglm",
      "title": "Cluster-robust variance-covariance matrix for a geeglm object.",
      "topics": [
        "vcovCR.geeglm"
      ]
    },
    {
      "page": "vcovCR.glm",
      "title": "Cluster-robust variance-covariance matrix for a glm object.",
      "topics": [
        "vcovCR.glm"
      ]
    },
    {
      "page": "vcovCR.gls",
      "title": "Cluster-robust variance-covariance matrix for a gls object.",
      "topics": [
        "vcovCR.gls"
      ]
    },
    {
      "page": "vcovCR.iv_robust",
      "title": "Cluster-robust variance-covariance matrix for an 'estimatr::iv_robust' object.",
      "topics": [
        "vcovCR.iv_robust"
      ]
    },
    {
      "page": "vcovCR.ivreg",
      "title": "Cluster-robust variance-covariance matrix for an ivreg object.",
      "topics": [
        "vcovCR.ivreg"
      ]
    },
    {
      "page": "vcovCR.lm",
      "title": "Cluster-robust variance-covariance matrix for an lm object.",
      "topics": [
        "vcovCR.lm"
      ]
    },
    {
      "page": "vcovCR.lm_robust",
      "title": "Cluster-robust variance-covariance matrix for an 'estimatr::lm_robust' object.",
      "topics": [
        "vcovCR.lm_robust"
      ]
    },
    {
      "page": "vcovCR.lme",
      "title": "Cluster-robust variance-covariance matrix for an lme object.",
      "topics": [
        "vcovCR.lme"
      ]
    },
    {
      "page": "vcovCR.lmerMod",
      "title": "Cluster-robust variance-covariance matrix for an lmerMod object.",
      "topics": [
        "vcovCR.lmerMod"
      ]
    },
    {
      "page": "vcovCR.mlm",
      "title": "Cluster-robust variance-covariance matrix for an mlm object.",
      "topics": [
        "vcovCR.mlm"
      ]
    },
    {
      "page": "vcovCR.mmrm",
      "title": "Cluster-robust variance-covariance matrix for an mmrm object.",
      "topics": [
        "vcovCR.mmrm"
      ]
    },
    {
      "page": "vcovCR.plm",
      "title": "Cluster-robust variance-covariance matrix for a plm object.",
      "topics": [
        "vcovCR.plm"
      ]
    },
    {
      "page": "vcovCR.rma.mv",
      "title": "Cluster-robust variance-covariance matrix for a rma.mv object.",
      "topics": [
        "vcovCR.rma.mv"
      ]
    },
    {
      "page": "vcovCR.rma.uni",
      "title": "Cluster-robust variance-covariance matrix for a rma.uni object.",
      "topics": [
        "vcovCR.rma.uni"
      ]
    },
    {
      "page": "vcovCR.robu",
      "title": "Cluster-robust variance-covariance matrix for a robu object.",
      "topics": [
        "vcovCR.robu"
      ]
    },
    {
      "page": "Wald_test",
      "title": "Test parameter constraints in a fitted linear regression model",
      "topics": [
        "Wald_test"
      ]
    }
  ],
  "_readme": "https://github.com/jepusto/clubsandwich/raw/HEAD/README.md",
  "_rundeps": [
    "cli",
    "lattice",
    "lifecycle",
    "rlang",
    "sandwich",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "panel-data-CRVE.Rmd",
      "filename": "panel-data-CRVE.html",
      "title": "Cluster-robust standard errors and hypothesis tests in panel data models",
      "author": "James E. Pustejovsky",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Effects of changing the minimum legal drinking age",
        "Unweighted OLS",
        "Unweighted \"within\" estimation",
        "Population-weighted estimation",
        "Random effects estimation",
        "Robust Hausman test",
        "References"
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