{
  "_id": "6a153fb0acfb0bcc41d55571",
  "Package": "fwildclusterboot",
  "Title": "Fast Wild Cluster Bootstrap Inference for Linear Models",
  "Version": "0.14.3",
  "Authors@R": "c(\nperson(\"Alexander\", \"Fischer\", , \"alexander-fischer1801@t-online.de\", role = c(\"aut\", \"cre\")),\nperson(\"David\", \"Roodman\", role = \"aut\"),\nperson(\"Megha\", \"Joshi\",\nrole = \"rev\",\ncomment = \"Megha reviewed the package (v. 0.13) for ropensci\n, see <https://github.com/ropensci/software-review/issues/546>\"\n),\nperson(\"Eunseop\", \"Kim\",\nrole = \"rev\",\ncomment = \"Eunseop reviewed the package (v. 0.13) for ropensci\n, see <https://github.com/ropensci/software-review/issues/546>\"\n),\nperson(\"Achim\", \"Zeileis\", role = \"ctb\",\ncomment = \"Author of included sandwich fragments\"),\nperson(\"Nathaniel\", \"Graham\", role = \"ctb\",\ncomment = \"Contributor to included sandwich fragments\"),\nperson(\"Susanne\", \"Koell\", role = \"ctb\",\ncomment = \"Contributor to included sandwich fragments\"),\nperson(\"Laurent\", \"Berge\", role = \"ctb\",\ncomment = \"Author of included fixest fragments\"),\nperson(\"Sebastian\", \"Krantz\", role = \"ctb\")\n)",
  "Description": "Implementation of fast algorithms for wild cluster\nbootstrap inference developed in 'Roodman et al' (2019, 'STATA'\nJournal, <doi:10.1177/1536867X19830877>) and 'MacKinnon et al'\n(2022), which makes it feasible to quickly calculate bootstrap\ntest statistics based on a large number of bootstrap draws even\nfor large samples.  Multiple bootstrap types as described in\n'MacKinnon, Nielsen & Webb' (2022) are supported.  Further,\n'multiway' clustering, regression weights, bootstrap weights,\nfixed effects and 'subcluster' bootstrapping are supported.\nFurther, both restricted ('WCR') and unrestricted ('WCU')\nbootstrap are supported. Methods are provided for a variety of\nfitted models, including 'lm()', 'feols()' (from package\n'fixest') and 'felm()' (from package 'lfe').  Additionally\nimplements a 'heteroskedasticity-robust' ('HC1') wild\nbootstrap.  Last, the package provides an R binding to\n'WildBootTests.jl', which provides additional speed gains and\nfunctionality, including the 'WRE' bootstrap for instrumental\nvariable models (based on models of type 'ivreg()' from package\n'ivreg') and hypotheses with q > 1.",
  "License": "GPL-3",
  "URL": "https://s3alfisc.github.io/fwildclusterboot/",
  "BugReports": "https://github.com/s3alfisc/fwildclusterboot/issues/",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE, roclets = c (\"namespace\", \"rd\",\n\"srr::srr_stats_roclet\"))",
  "RoxygenNote": "7.2.3",
  "SystemRequirements": "Version Requirements to run the wild bootstrap\nthrough Julia - Julia (>= 1.8), WildBootTests.jl (>=0.9.8).\nJulia is downloadable via the official Julia website\n(https://julialang.org/downloads/), WildBootTests.jl via\nJulia's package manager\n(https://docs.julialang.org/en/v1/stdlib/Pkg/) or its github\nrepository (https://github.com/droodman/WildBootTests.jl)",
  "Repository": "https://s3alfisc.r-universe.dev",
  "Date/Publication": "2023-09-12 21:14:23 UTC",
  "RemoteUrl": "https://github.com/s3alfisc/fwildclusterboot",
  "RemoteRef": "HEAD",
  "RemoteSha": "336bb574eba169ac0183317f01d0564791d8122f",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-26 06:27:13 UTC",
    "User": "root"
  },
  "Author": "Alexander Fischer [aut, cre],\nDavid Roodman [aut],\nMegha Joshi [rev] (Megha reviewed the package (v. 0.13) for ropensci ,\nsee <https://github.com/ropensci/software-review/issues/546>),\nEunseop Kim [rev] (Eunseop reviewed the package (v. 0.13) for ropensci\n, see <https://github.com/ropensci/software-review/issues/546>),\nAchim Zeileis [ctb] (Author of included sandwich fragments),\nNathaniel Graham [ctb] (Contributor to included sandwich fragments),\nSusanne Koell [ctb] (Contributor to included sandwich fragments),\nLaurent Berge [ctb] (Author of included fixest fragments),\nSebastian Krantz [ctb]",
  "Maintainer": "Alexander Fischer <alexander-fischer1801@t-online.de>",
  "MD5sum": "51a2330d87f848d2c16339875b7256a8",
  "_user": "s3alfisc",
  "_type": "src",
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  "_created": "2026-05-26T06:27:13.000Z",
  "_published": "2026-05-26T06:37:36.286Z",
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    "author": "Alexander Fischer <alexander-fischer1801@t-online.de>",
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    "message": "Merge pull request #142 from s3alfisc/fix-CI\n\nfix CI inversion bug #138, version 0.14.3",
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    "boottest",
    "glance",
    "mboottest",
    "pval",
    "setBoottest_engine",
    "teststat",
    "tidy"
  ],
  "_datasets": [
    {
      "name": "voters",
      "title": "Random example data set",
      "object": "voters",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ID",
        "group_id1",
        "group_id2",
        "ideology1",
        "ideology2",
        "ideological_label",
        "income",
        "Q1_immigration",
        "Q2_defense",
        "treatment",
        "proposition_vote",
        "log_income",
        "weights"
      ],
      "rows": 300,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "boot_aggregate",
      "title": "Simple tool that aggregates the value of CATT coefficients in staggered difference-in-difference setups with inference based on a wild cluster bootstrap (see details) - similar to 'fixest::aggregate()'",
      "topics": [
        "boot_aggregate"
      ]
    },
    {
      "page": "boot_ssc",
      "title": "set the small sample correction factor applied in 'boottest()'",
      "topics": [
        "boot_ssc"
      ]
    },
    {
      "page": "boottest",
      "title": "Fast wild cluster bootstrap inference",
      "topics": [
        "boottest"
      ]
    },
    {
      "page": "boottest.felm",
      "title": "Fast wild cluster bootstrap inference for object of class felm",
      "topics": [
        "boottest.felm"
      ]
    },
    {
      "page": "boottest.fixest",
      "title": "Fast wild cluster bootstrap inference for object of class fixest",
      "topics": [
        "boottest.fixest"
      ]
    },
    {
      "page": "boottest.ivreg",
      "title": "Fast wild cluster bootstrap inference for object of class lm",
      "topics": [
        "boottest.ivreg"
      ]
    },
    {
      "page": "boottest.lm",
      "title": "Fast wild cluster bootstrap inference for object of class lm",
      "topics": [
        "boottest.lm"
      ]
    },
    {
      "page": "confint.boottest",
      "title": "S3 method to obtain wild cluster bootstrapped confidence intervals",
      "topics": [
        "confint.boottest"
      ]
    },
    {
      "page": "find_proglang",
      "title": "Check if julia or python are installed / can be found on the PATH.",
      "topics": [
        "find_proglang"
      ]
    },
    {
      "page": "glance.boottest",
      "title": "S3 method to glance at objects of class boottest",
      "topics": [
        "glance.boottest"
      ]
    },
    {
      "page": "glance.mboottest",
      "title": "S3 method to glance at objects of class boottest",
      "topics": [
        "glance.mboottest"
      ]
    },
    {
      "page": "mboottest",
      "title": "Arbitrary Linear Hypothesis Testing for Regression Models via Wald-Tests",
      "topics": [
        "mboottest"
      ]
    },
    {
      "page": "mboottest.felm",
      "title": "Fast wild cluster bootstrap inference for joint hypotheses for object of class felm",
      "topics": [
        "mboottest.felm"
      ]
    },
    {
      "page": "mboottest.fixest",
      "title": "Fast wild cluster bootstrap inference for joint hypotheses for object of class fixest",
      "topics": [
        "mboottest.fixest"
      ]
    },
    {
      "page": "mboottest.lm",
      "title": "Fast wild cluster bootstrap inference of joint hypotheses for object of class lm",
      "topics": [
        "mboottest.lm"
      ]
    },
    {
      "page": "nobs.boottest",
      "title": "S3 method to obtain the effective number of observation used in 'boottest()'",
      "topics": [
        "nobs.boottest"
      ]
    },
    {
      "page": "nobs.mboottest",
      "title": "S3 method to obtain the effective number of observation used in 'mboottest()'",
      "topics": [
        "nobs.mboottest"
      ]
    },
    {
      "page": "plot.boottest",
      "title": "Plots bootstrapped p-values as a function of the hypothesized effect size r for a hypothesis test of the form R beta = r.The points where the p-values are 0.05 are the boundaries of the bootstrapped confidence interval.",
      "topics": [
        "plot.boottest"
      ]
    },
    {
      "page": "print.boottest",
      "title": "S3 method to print key information for objects of type 'bboottest'",
      "topics": [
        "print.boottest"
      ]
    },
    {
      "page": "print.mboottest",
      "title": "S3 method to print key information for objects of type 'mboottest'",
      "topics": [
        "print.mboottest"
      ]
    },
    {
      "page": "pval",
      "title": "'pval' is a S3 method to collect pvalues for objects of type 'boottest' and 'mboottest'",
      "topics": [
        "pval"
      ]
    },
    {
      "page": "pval.boottest",
      "title": "S3 method to obtain the wild cluster bootstrapped p-value of an object of type boottest",
      "topics": [
        "pval.boottest"
      ]
    },
    {
      "page": "pval.mboottest",
      "title": "S3 method to obtain the wild cluster bootstrapped p-value of an object of type mboottest",
      "topics": [
        "pval.mboottest"
      ]
    },
    {
      "page": "setBoottest_engine",
      "title": "Sets the default bootstrap algo for the current R session to be run via 'boottest()' and 'mboottest()'",
      "topics": [
        "setBoottest_engine"
      ]
    },
    {
      "page": "summary.boottest",
      "title": "S3 method to summarize objects of class boottest",
      "topics": [
        "summary.boottest"
      ]
    },
    {
      "page": "summary.mboottest",
      "title": "S3 method to summarize objects of class mboottest",
      "topics": [
        "summary.mboottest"
      ]
    },
    {
      "page": "teststat",
      "title": "'teststat' is a S3 method to collect teststats for objects of type 'boottest' and 'mboottest'",
      "topics": [
        "teststat"
      ]
    },
    {
      "page": "teststat.boottest",
      "title": "S3 method to obtain the non-bootstrapped t-statistic calculated via 'boottest()'",
      "topics": [
        "teststat.boottest"
      ]
    },
    {
      "page": "teststat.mboottest",
      "title": "S3 method to obtain the non-bootstrapped test statistic calculated via 'mboottest()'",
      "topics": [
        "teststat.mboottest"
      ]
    },
    {
      "page": "tidy.boottest",
      "title": "S3 method to summarize objects of class boottest into tidy data.frame",
      "topics": [
        "tidy.boottest"
      ]
    },
    {
      "page": "tidy.mboottest",
      "title": "S3 method to summarize objects of class mboottest into tidy data.frame",
      "topics": [
        "tidy.mboottest"
      ]
    },
    {
      "page": "voters",
      "title": "Random example data set",
      "topics": [
        "voters"
      ]
    }
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