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  "Package": "BayesFactor",
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  "Title": "Computation of Bayes Factors for Common Designs",
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  "Date": "2024-01-23",
  "Authors@R": "c(person(\"Richard D.\", \"Morey\", role = c(\"aut\", \"cre\", \"cph\"), email = \"richarddmorey@gmail.com\"), \nperson(\"Jeffrey N.\", \"Rouder\", role = \"aut\", email = \"jrouder@uci.edu\"),\nperson(\"Tahira\", \"Jamil\", role = c(\"ctb\",\"cph\"), email = \"tahjamil@gmail.com\"),\nperson(\"Simon\", \"Urbanek\", role = c(\"ctb\", \"cph\"), email = \"simon.urbanek@r-project.org\"),\nperson(\"Karl\", \"Forner\", role = c(\"ctb\", \"cph\"), email = \"karl.forner@gmail.com\"),\nperson(\"Alexander\", \"Ly\", role = c(\"ctb\", \"cph\"), email = \"Alexander.Ly.NL@gmail.com\"))",
  "Description": "A suite of functions for computing various Bayes factors\nfor simple designs, including contingency tables, one- and\ntwo-sample designs, one-way designs, general ANOVA designs, and\nlinear regression.",
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    "as.BFprobability",
    "BFInfo",
    "BFManual",
    "compare",
    "contingencyTableBF",
    "correlationBF",
    "enumerateGeneralModels",
    "extractBF",
    "extractOdds",
    "extractProbabilities",
    "filterBF",
    "generalTestBF",
    "linearReg.R2stat",
    "lmBF",
    "logCumMeanExpLogs",
    "logMeanExpLogs",
    "logSummaryStats",
    "meta.ttestBF",
    "model.matrix",
    "newPriorOdds",
    "nWayAOV",
    "oneWayAOV.Fstat",
    "posterior",
    "priorLogodds<-",
    "priorOdds<-",
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    "recompute",
    "regressionBF",
    "t",
    "ttest.tstat",
    "ttestBF",
    "which.max",
    "which.min"
  ],
  "_datasets": [
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      "title": "Puzzle completion times from Hays (1994)",
      "object": "puzzles",
      "file": "puzzles.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "RT",
        "ID",
        "shape",
        "color"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "raceDolls",
      "title": "Hraba and Grant (1970) children's doll preference data",
      "object": "raceDolls",
      "file": "raceDolls.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [
        "White child",
        "Black child"
      ],
      "rows": 2,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "BayesFactor-package",
      "title": "Functions to compute Bayes factor hypothesis tests for common research designs and hypotheses.",
      "topics": [
        "BayesFactor-package",
        "BayesFactor"
      ]
    },
    {
      "page": "grapes-same-grapes",
      "title": "Compare two objects to see if they are the 'same', for some loose definition of same",
      "topics": [
        "%same%"
      ]
    },
    {
      "page": "grapes-termin-grapes",
      "title": "Find a model term in a vector of model terms",
      "topics": [
        "%termin%"
      ]
    },
    {
      "page": "anovaBF",
      "title": "Function to compute Bayes factors for ANOVA designs",
      "topics": [
        "anovaBF"
      ]
    },
    {
      "page": "as.BFBayesFactor",
      "title": "Function to coerce objects to the BFBayesFactor class",
      "topics": [
        "as.BFBayesFactor"
      ]
    },
    {
      "page": "as.BFprobability",
      "title": "Function to coerce objects to the BFprobability class",
      "topics": [
        "as.BFprobability"
      ]
    },
    {
      "page": "BFBayesFactor-class",
      "title": "General S4 class for representing multiple Bayes factor model comparisons, all against the same model",
      "topics": [
        "*,BFBayesFactor,BFodds-method",
        "/,BFBayesFactor,BFBayesFactor-method",
        "/,numeric,BFBayesFactor-method",
        "BFBayesFactor-class",
        "BFBayesFactorTop-class",
        "is.na,BFBayesFactor-method",
        "t,BFBayesFactor-method",
        "which.max,BFBayesFactor-method",
        "which.min,BFBayesFactor-method",
        "[,BFBayesFactor,index,missing,missing-method",
        "[,BFBayesFactorTop,index,missing,missing-method"
      ]
    },
    {
      "page": "BFBayesFactorList-class",
      "title": "General S4 class for representing a collection of Bayes factor model comprisons, each against a different denominator",
      "topics": [
        "/,numeric,BFBayesFactorList-method",
        "BFBayesFactorList-class",
        "t,BFBayesFactorList-method",
        "[,BFBayesFactorList,index,index,missing-method",
        "[,BFBayesFactorList,index,missing,missing-method",
        "[,BFBayesFactorList,missing,index,missing-method"
      ]
    },
    {
      "page": "BFInfo",
      "title": "Prints the version information for the BayesFactor package",
      "topics": [
        "BFInfo"
      ]
    },
    {
      "page": "BFManual",
      "title": "Opens the HTML manual for the BayesFactor package",
      "topics": [
        "BFManual"
      ]
    },
    {
      "page": "model-classes",
      "title": "General S4 classes for representing models for comparison",
      "topics": [
        "BFcontingencyTable-class",
        "BFcorrelation-class",
        "BFindepSample-class",
        "BFlinearModel-class",
        "BFmodel-class",
        "BFoneSample-class",
        "BFproportion-class"
      ]
    },
    {
      "page": "BFodds-class",
      "title": "General S4 class for representing multiple odds model comparisons, all against the same model",
      "topics": [
        "*,BFodds,BFBayesFactor-method",
        "/,BFodds,BFodds-method",
        "/,numeric,BFodds-method",
        "BFodds-class",
        "[,BFodds,index,missing,missing-method"
      ]
    },
    {
      "page": "BFprobability-class",
      "title": "General S4 class for representing multiple model probability comparisons",
      "topics": [
        "-,BFprobability,numeric-method",
        "/,BFprobability,numeric-method",
        "BFprobability-class",
        "filterBF,BFprobability,character-method",
        "[,BFprobability,index,missing,missing-method"
      ]
    },
    {
      "page": "compare-methods",
      "title": "Compare two models, with respect to some data",
      "topics": [
        "compare",
        "compare,BFcontingencyTable,BFcontingencyTable,data.frame-method",
        "compare,BFcontingencyTable,missing,data.frame-method",
        "compare,BFcorrelation,missing,data.frame-method",
        "compare,BFindepSample,missing,data.frame-method",
        "compare,BFlinearModel,BFlinearModel,data.frame-method",
        "compare,BFlinearModel,missing,data.frame-method",
        "compare,BFmcmc,BFmcmc,ANY-method",
        "compare,BFmcmc,missing,ANY-method",
        "compare,BFmetat,missing,data.frame-method",
        "compare,BFoneSample,missing,data.frame-method",
        "compare,BFproportion,missing,data.frame-method"
      ]
    },
    {
      "page": "contingencyTableBF",
      "title": "Function for Bayesian analysis of one- and two-sample designs",
      "topics": [
        "contingencyTableBF"
      ]
    },
    {
      "page": "correlationBF",
      "title": "Function for Bayesian analysis of correlations",
      "topics": [
        "correlationBF"
      ]
    },
    {
      "page": "extractBF-methods",
      "title": "Extract the Bayes factor from an object",
      "topics": [
        "extractBF",
        "extractBF,BFBayesFactor-method"
      ]
    },
    {
      "page": "extractOdds-methods",
      "title": "Extract the odds from an object",
      "topics": [
        "extractOdds",
        "extractOdds,BFodds-method"
      ]
    },
    {
      "page": "extractProbabilities-methods",
      "title": "Extract the probabilities from an object",
      "topics": [
        "extractProbabilities",
        "extractProbabilities,BFprobability-method"
      ]
    },
    {
      "page": "filterBF",
      "title": "Filter the elements of an object according to some pre-specified criteria",
      "topics": [
        "filterBF"
      ]
    },
    {
      "page": "generalTestBF",
      "title": "Function to compute Bayes factors for general designs",
      "topics": [
        "generalTestBF"
      ]
    },
    {
      "page": "linearReg.R2stat",
      "title": "Use R^2 statistic to compute Bayes factor for regression designs",
      "topics": [
        "linearReg.R2stat"
      ]
    },
    {
      "page": "lmBF",
      "title": "Function to compute Bayes factors for specific linear models",
      "topics": [
        "lmBF"
      ]
    },
    {
      "page": "logMeanExpLogs",
      "title": "Functions to compute the logarithm of the mean (and cumulative means) of vectors of logarithms",
      "topics": [
        "logCumMeanExpLogs",
        "logMeanExpLogs",
        "logSummaryStats"
      ]
    },
    {
      "page": "meta.ttestBF",
      "title": "Function for Bayesian analysis of one- and two-sample designs",
      "topics": [
        "meta.ttestBF"
      ]
    },
    {
      "page": "model.matrix-methods",
      "title": "Design matrices for Bayes factor linear models analyses.",
      "topics": [
        "model.matrix,BFBayesFactor",
        "model.matrix,BFBayesFactor-method",
        "model.matrix,BFBayesFactorTop-method"
      ]
    },
    {
      "page": "newPriorOdds",
      "title": "Create prior odds from a Bayes factor object",
      "topics": [
        "newPriorOdds"
      ]
    },
    {
      "page": "nWayAOV",
      "title": "Use ANOVA design matrix to compute Bayes factors or sample posterior",
      "topics": [
        "nWayAOV"
      ]
    },
    {
      "page": "oneWayAOV.Fstat",
      "title": "Use F statistic to compute Bayes factor for balanced one-way designs",
      "topics": [
        "oneWayAOV.Fstat"
      ]
    },
    {
      "page": "options-BayesFactor",
      "title": "options() for package BayesFactor",
      "topics": [
        "options-BayesFactor"
      ]
    },
    {
      "page": "plot.BFBayesFactor",
      "title": "Plot a Bayes factor object",
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