{
  "_id": "6a605fb014e95619b75d90a6",
  "Package": "sigr",
  "Type": "Package",
  "Title": "Succinct and Correct Statistical Summaries for Reports",
  "Version": "1.1.5",
  "Date": "2023-08-19",
  "Authors@R": "c(\nperson(\"John\", \"Mount\", email = \"jmount@win-vector.com\", role = c(\"aut\", \"cre\")),\nperson(\"Nina\", \"Zumel\", email = \"nzumel@win-vector.com\", role = c(\"aut\")),\nperson(family = \"Win-Vector LLC\", role = c(\"cph\"))\n)",
  "URL": "https://github.com/WinVector/sigr/,\nhttps://winvector.github.io/sigr/",
  "Maintainer": "John Mount <jmount@win-vector.com>",
  "BugReports": "https://github.com/WinVector/sigr/issues",
  "Description": "Succinctly and correctly format statistical summaries of\nvarious models and tests (F-test, Chi-Sq-test, Fisher-test,\nT-test, and rank-significance). This package also includes\nempirical tests, such as Monte Carlo and bootstrap distribution\nestimates.",
  "License": "GPL-2 | GPL-3",
  "RoxygenNote": "7.2.3",
  "VignetteBuilder": "knitr",
  "ByteCompile": "true",
  "Repository": "https://winvector.r-universe.dev",
  "Date/Publication": "2023-08-20 00:10:28 UTC",
  "RemoteUrl": "https://github.com/winvector/sigr",
  "RemoteRef": "HEAD",
  "RemoteSha": "019233dfbb555583d6081d7409e14e7d14f648a8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-22 06:10:50 UTC",
    "User": "root"
  },
  "Author": "John Mount [aut, cre],\nNina Zumel [aut],\nWin-Vector LLC [cph]",
  "_user": "winvector",
  "_type": "src",
  "_file": "sigr_1.1.5.tar.gz",
  "_fileid": "https://r2.ropensci.org/d51bcfc996d4f6d86349279c10e2f2eb19d8868e455f4e8fece735d8c91a6bab",
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  "_sha256": "d51bcfc996d4f6d86349279c10e2f2eb19d8868e455f4e8fece735d8c91a6bab",
  "_expires": "2026-10-30T06:14:06.000Z",
  "_created": "2026-07-22T06:10:50.000Z",
  "_published": "2026-07-22T06:14:08.732Z",
  "_jobs": [
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  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/winvector/actions/runs/29895801097",
  "_status": "success",
  "_upstream": "https://github.com/winvector/sigr",
  "_commit": {
    "id": "019233dfbb555583d6081d7409e14e7d14f648a8",
    "author": "John Mount <jmount@win-vector.com>",
    "committer": "John Mount <jmount@win-vector.com>",
    "message": "ignore more\n",
    "time": 1692490228
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  "_maintainer": {
    "name": "John Mount",
    "email": "jmount@win-vector.com",
    "login": "johnmount",
    "description": "",
    "uuid": 4275344
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.2.1",
      "role": "Depends"
    },
    {
      "package": "wrapr",
      "version": ">= 2.0.9",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "pwr",
      "role": "Suggests"
    },
    {
      "package": "parallel",
      "role": "Suggests"
    },
    {
      "package": "knitr",
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    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "tinytest",
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  ],
  "_owner": "winvector",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 28,
  "_contributors": [
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      "uuid": 4275344
    },
    {
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    }
  ],
  "_userbio": {
    "uuid": 1242554,
    "type": "organization",
    "name": "Win Vector LLC",
    "followers": 53,
    "description": "Expert data science training and consulting."
  },
  "_downloads": {
    "count": 417,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/sigr"
  },
  "_mentions": 1,
  "_devurl": "https://github.com/winvector/sigr",
  "_pkgdown": "https://winvector.github.io/sigr/",
  "_searchresults": 107,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "extra/sigr.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/winvector/sigr",
  "_realowner": "winvector",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.3",
      "date": "2017-01-16"
    },
    {
      "version": "0.1.4",
      "date": "2017-02-16"
    },
    {
      "version": "0.1.5",
      "date": "2017-03-24"
    },
    {
      "version": "0.1.6",
      "date": "2017-05-05"
    },
    {
      "version": "0.1.7",
      "date": "2017-07-04"
    },
    {
      "version": "0.2.0",
      "date": "2017-10-07"
    },
    {
      "version": "0.2.1",
      "date": "2017-10-15"
    },
    {
      "version": "0.2.2",
      "date": "2017-10-22"
    },
    {
      "version": "0.2.3",
      "date": "2018-01-28"
    },
    {
      "version": "0.2.4",
      "date": "2018-03-13"
    },
    {
      "version": "0.2.5",
      "date": "2018-04-24"
    },
    {
      "version": "0.2.6",
      "date": "2018-05-25"
    },
    {
      "version": "0.2.7",
      "date": "2018-07-03"
    },
    {
      "version": "0.2.8",
      "date": "2018-07-19"
    },
    {
      "version": "1.0.0",
      "date": "2018-09-17"
    },
    {
      "version": "1.0.1",
      "date": "2018-09-28"
    },
    {
      "version": "1.0.2",
      "date": "2018-10-05"
    },
    {
      "version": "1.0.3",
      "date": "2018-11-04"
    },
    {
      "version": "1.0.4",
      "date": "2019-01-27"
    },
    {
      "version": "1.0.5",
      "date": "2019-02-20"
    },
    {
      "version": "1.0.6",
      "date": "2019-07-24"
    },
    {
      "version": "1.0.8",
      "date": "2020-08-11"
    },
    {
      "version": "1.1.0",
      "date": "2020-09-15"
    },
    {
      "version": "1.1.1",
      "date": "2020-09-22"
    },
    {
      "version": "1.1.2",
      "date": "2020-10-01"
    },
    {
      "version": "1.1.3",
      "date": "2020-10-16"
    },
    {
      "version": "1.1.4",
      "date": "2021-06-12"
    },
    {
      "version": "1.1.5",
      "date": "2023-08-20"
    }
  ],
  "_exports": [
    "%:=%",
    "%.>%",
    "add_ROC_derived_columns",
    "apply_left",
    "apply_right",
    "Bernoulli_diff_stat",
    "build_frame",
    "build_ROC_curve",
    "calcAUC",
    "calcDeviance",
    "calcSSE",
    "check_utility_calc",
    "draw_frame",
    "estimateDifferenceZeroCrossing",
    "find_area_q",
    "find_AUC_q",
    "find_matching_a1_1b",
    "find_matching_conditional_betas",
    "find_ROC_matching_ab",
    "find_ROC_matching_ab1",
    "fit_beta_shapes",
    "getRenderingFormat",
    "let",
    "map_to_char",
    "mk_tmp_name_source",
    "model_utility",
    "permTestAUC",
    "permutationScoreModel",
    "qae",
    "qc",
    "qchar_frame",
    "qe",
    "render",
    "resampleScoreModel",
    "resampleScoreModelPair",
    "resampleTestAUC",
    "sensitivity_and_specificity_s12p12n",
    "sensitivity_from_specificity_q",
    "testAUCpair",
    "TInterval",
    "TIntervalS",
    "wrapBinomTest",
    "wrapBinomTestS",
    "wrapChiSqTest",
    "wrapChiSqTestImpl",
    "wrapCohenD",
    "wrapCorTest",
    "wrapFisherTest",
    "wrapFTest",
    "wrapFTestezANOVA",
    "wrapFTestImpl",
    "wrapPWR",
    "wrapSignificance",
    "wrapTTest"
  ],
  "_help": [
    {
      "page": "sigr-package",
      "title": "sigr: Format Significance Summaries for Reports",
      "topics": [
        "sigr-package",
        "sigr"
      ]
    },
    {
      "page": "add_ROC_derived_columns",
      "title": "Add ROC derived columns.",
      "topics": [
        "add_ROC_derived_columns"
      ]
    },
    {
      "page": "as.character.sigr_statistic",
      "title": "as.character",
      "topics": [
        "as.character.sigr_statistic"
      ]
    },
    {
      "page": "Bernoulli_diff_stat",
      "title": "Compute the distribution of differences of replacement samples of two Binomial or Bernoulli experiments.",
      "topics": [
        "Bernoulli_diff_stat"
      ]
    },
    {
      "page": "build_ROC_curve",
      "title": "calculate ROC curve.",
      "topics": [
        "build_ROC_curve"
      ]
    },
    {
      "page": "calcAUC",
      "title": "calculate AUC.",
      "topics": [
        "calcAUC"
      ]
    },
    {
      "page": "calcDeviance",
      "title": "Calculate deviance.",
      "topics": [
        "calcDeviance"
      ]
    },
    {
      "page": "calcSSE",
      "title": "Calculate sum of squared error.",
      "topics": [
        "calcSSE"
      ]
    },
    {
      "page": "estimateDifferenceZeroCrossing",
      "title": "Studentized estimate of how often a difference is below zero.",
      "topics": [
        "estimateDifferenceZeroCrossing"
      ]
    },
    {
      "page": "find_area_q",
      "title": "Find area matching polynomial curve.",
      "topics": [
        "find_area_q"
      ]
    },
    {
      "page": "find_AUC_q",
      "title": "Find area matching polynomial curve.",
      "topics": [
        "find_AUC_q"
      ]
    },
    {
      "page": "find_matching_a1_1b",
      "title": "Find beta-1 shape parameters matching the conditional distributions.",
      "topics": [
        "find_matching_a1_1b",
        "find_ROC_matching_ab1"
      ]
    },
    {
      "page": "find_matching_conditional_betas",
      "title": "Find beta shape parameters matching the conditional distributions.",
      "topics": [
        "find_matching_conditional_betas",
        "find_ROC_matching_ab"
      ]
    },
    {
      "page": "fit_beta_shapes",
      "title": "Fit beta parameters from data.",
      "topics": [
        "fit_beta_shapes"
      ]
    },
    {
      "page": "format.sigr_statistic",
      "title": "Format",
      "topics": [
        "format.sigr_statistic"
      ]
    },
    {
      "page": "getRenderingFormat",
      "title": "Detect rendering format (using knitr).",
      "topics": [
        "getRenderingFormat"
      ]
    },
    {
      "page": "model_utility",
      "title": "Estimate model utility",
      "topics": [
        "model_utility"
      ]
    },
    {
      "page": "permTestAUC",
      "title": "Perform AUC permutation test.",
      "topics": [
        "permTestAUC"
      ]
    },
    {
      "page": "permutationScoreModel",
      "title": "Empirical permutation test of significance of scoreFn(modelValues,yValues) >= scoreFn(modelValues,perm(yValues)).",
      "topics": [
        "permutationScoreModel"
      ]
    },
    {
      "page": "print.sigr_statistic",
      "title": "Print",
      "topics": [
        "print.sigr_statistic"
      ]
    },
    {
      "page": "render",
      "title": "Format summary roughly in \"APA Style\" ( American Psychological Association ).",
      "topics": [
        "render"
      ]
    },
    {
      "page": "render.sigr_aucpairtest",
      "title": "Format an AUC-test (quality of a probability score)",
      "topics": [
        "render.sigr_aucpairtest"
      ]
    },
    {
      "page": "render.sigr_aucpermtest",
      "title": "Format an AUC-test (quality of a probability score)",
      "topics": [
        "render.sigr_aucpermtest"
      ]
    },
    {
      "page": "render.sigr_aucresamptest",
      "title": "Format an AUC-test (quality of a probability score)",
      "topics": [
        "render.sigr_aucresamptest"
      ]
    },
    {
      "page": "render.sigr_Bernoulli_diff_test",
      "title": "Format sigr_Bernoulli_diff_test (test of difference of Bernoulli processes).",
      "topics": [
        "render.sigr_Bernoulli_diff_test"
      ]
    },
    {
      "page": "render.sigr_binomtest",
      "title": "Format binom.test (test of rate of a Binomial/Bernoulli experiment).",
      "topics": [
        "render.sigr_binomtest"
      ]
    },
    {
      "page": "render.sigr_chisqtest",
      "title": "Format a chi-square test (quality of categorical prediction)",
      "topics": [
        "render.sigr_chisqtest"
      ]
    },
    {
      "page": "render.sigr_cohend",
      "title": "Format Cohen-D (effect size between groups)",
      "topics": [
        "render.sigr_cohend"
      ]
    },
    {
      "page": "render.sigr_cortest",
      "title": "Format cor.test (test of liner correlation).",
      "topics": [
        "render.sigr_cortest"
      ]
    },
    {
      "page": "render.sigr_emptest",
      "title": "Format an empirical test (quality of categorical prediction)",
      "topics": [
        "render.sigr_emptest"
      ]
    },
    {
      "page": "render.sigr_fishertest",
      "title": "Format fisher.test (test of categorical independence).",
      "topics": [
        "render.sigr_fishertest"
      ]
    },
    {
      "page": "render.sigr_ftest",
      "title": "Format an F-test",
      "topics": [
        "render.sigr_ftest"
      ]
    },
    {
      "page": "render.sigr_permtest",
      "title": "Format an empirical test (quality of categorical prediction)",
      "topics": [
        "render.sigr_permtest"
      ]
    },
    {
      "page": "render.sigr_pwr_htest",
      "title": "Format a pwr-test",
      "topics": [
        "render.sigr_pwr_htest"
      ]
    },
    {
      "page": "render.sigr_significance",
      "title": "Format a significance",
      "topics": [
        "render.sigr_significance"
      ]
    },
    {
      "page": "render.sigr_tinterval",
      "title": "Format a Student-T tolerance-style interval around an estimate of a mean.",
      "topics": [
        "render.sigr_tinterval"
      ]
    },
    {
      "page": "render.sigr_ttest",
      "title": "Format a T-test (difference in means by group)",
      "topics": [
        "render.sigr_ttest"
      ]
    },
    {
      "page": "resampleScoreModel",
      "title": "Studentized bootstrap variance estimate for scoreFn(yValues,modelValues).",
      "topics": [
        "resampleScoreModel"
      ]
    },
    {
      "page": "resampleScoreModelPair",
      "title": "Studentized bootstrap test of strength of scoreFn(yValues,model1Values) > scoreFn(yValues,model1Values).",
      "topics": [
        "resampleScoreModelPair"
      ]
    },
    {
      "page": "resampleTestAUC",
      "title": "Wrap AUC resampling test results.",
      "topics": [
        "resampleTestAUC"
      ]
    },
    {
      "page": "sensitivity_and_specificity_s12p12n",
      "title": "Compute the shape1_pos, shape2_pos, shape1_neg, shape2_neg graph.",
      "topics": [
        "sensitivity_and_specificity_s12p12n"
      ]
    },
    {
      "page": "sensitivity_from_specificity_q",
      "title": "Compute the q-graph.",
      "topics": [
        "sensitivity_from_specificity_q"
      ]
    },
    {
      "page": "testAUCpair",
      "title": "Test AUC pair results.",
      "topics": [
        "testAUCpair"
      ]
    },
    {
      "page": "TInterval",
      "title": "Wrap TInterval (test of Binomial/Bernoulli rate).",
      "topics": [
        "TInterval"
      ]
    },
    {
      "page": "TInterval.data.frame",
      "title": "Student-T tolerance-style interval around an estimate of a mean from a data.frame.",
      "topics": [
        "TInterval.data.frame"
      ]
    },
    {
      "page": "TInterval.numeric",
      "title": "Student-T tolerance-style interval around an estimate of a mean from observations.",
      "topics": [
        "TInterval.numeric"
      ]
    },
    {
      "page": "TIntervalS",
      "title": "Student-T tolerance-style interval around an estimate of a mean from summary.",
      "topics": [
        "TIntervalS"
      ]
    },
    {
      "page": "wrapBinomTest",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate).",
      "topics": [
        "wrapBinomTest"
      ]
    },
    {
      "page": "wrapBinomTest.data.frame",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate).",
      "topics": [
        "wrapBinomTest.data.frame"
      ]
    },
    {
      "page": "wrapBinomTest.htest",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate).",
      "topics": [
        "wrapBinomTest.htest"
      ]
    },
    {
      "page": "wrapBinomTest.logical",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate).",
      "topics": [
        "wrapBinomTest.logical"
      ]
    },
    {
      "page": "wrapBinomTest.numeric",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate).",
      "topics": [
        "wrapBinomTest.numeric"
      ]
    },
    {
      "page": "wrapBinomTestS",
      "title": "Wrap binom.test (test of Binomial/Bernoulli rate) from summary.",
      "topics": [
        "wrapBinomTestS"
      ]
    },
    {
      "page": "wrapChiSqTest",
      "title": "Wrap quality of a categorical prediction roughly in \"APA Style\" ( American Psychological Association ).",
      "topics": [
        "wrapChiSqTest"
      ]
    },
    {
      "page": "wrapChiSqTest.anova",
      "title": "Format ChiSqTest from anova of logistic model.",
      "topics": [
        "wrapChiSqTest.anova"
      ]
    },
    {
      "page": "wrapChiSqTest.data.frame",
      "title": "Format ChiSqTest from data.",
      "topics": [
        "wrapChiSqTest.data.frame"
      ]
    },
    {
      "page": "wrapChiSqTest.glm",
      "title": "Format ChiSqTest from model.",
      "topics": [
        "wrapChiSqTest.glm"
      ]
    },
    {
      "page": "wrapChiSqTest.summary.glm",
      "title": "Format ChiSqTest from model summary.",
      "topics": [
        "wrapChiSqTest.summary.glm"
      ]
    },
    {
      "page": "wrapChiSqTestImpl",
      "title": "Format quality of a logistic regression roughly in \"APA Style\" ( American Psychological Association ).",
      "topics": [
        "wrapChiSqTestImpl"
      ]
    },
    {
      "page": "wrapCohenD",
      "title": "Wrap Cohen's D (effect size between groups).",
      "topics": [
        "wrapCohenD"
      ]
    },
    {
      "page": "wrapCohenD.data.frame",
      "title": "Wrap Cohen's D (effect size between groups).",
      "topics": [
        "wrapCohenD.data.frame"
      ]
    },
    {
      "page": "wrapCohenD.numeric",
      "title": "Wrap Cohen's D (effect size between groups).",
      "topics": [
        "wrapCohenD.numeric"
      ]
    },
    {
      "page": "wrapCorTest",
      "title": "Wrap cor.test (test of liner correlation).",
      "topics": [
        "wrapCorTest"
      ]
    },
    {
      "page": "wrapCorTest.data.frame",
      "title": "Wrap cor.test (test of liner correlation).",
      "topics": [
        "wrapCorTest.data.frame"
      ]
    },
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