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  "Title": "Distribution-Free Bayesian Analysis",
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  "Description": "A set of functions to perform distribution-free Bayesian\nanalyses. Included are Bayesian analogues to the frequentist\nMann-Whitney U test, the Wilcoxon Signed-Ranks test, Kendall's\nTau Rank Correlation Coefficient, Goodman and Kruskal's Gamma,\nMcNemar's Test, the binomial test, the sign test, the median\ntest, as well as distribution-free methods for testing\ncontrasts among condition and for computing Bayes factors for\nhypotheses. The package also includes procedures to estimate\nthe power of distribution-free Bayesian tests based on data\nsimulations using various probability models for the data. The\nset of functions provide data analysts with a set of Bayesian\nprocedures that avoids requiring parametric assumptions about\nmeasurement error and is robust to problem of extreme outlier\nscores.",
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      "title": "Bayesian Contrasts",
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    {
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      "title": "Bayesian Binomial Rate Parameter Inference",
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    {
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      "title": "Bayesian Distribution-Free Correlation and Concordance",
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      "title": "Goodman-Kruskal Gamma",
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        "dfba_beta_descriptive_out-class",
        "dfba_binomial_out-class",
        "dfba_bivariate_concordance_out-class",
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        "dfba_mann_whitney_small_out-class",
        "dfba_mcnemar_out-class",
        "dfba_median_test_out-class",
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        "dfba_sign_test_out-class",
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        "dfba_wilcoxon_large_out-class",
        "dfba_wilcoxon_small_out-class"
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      "title": "Independent Samples Test (Mann Whitney U)",
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        "DFBA Functions",
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        "dfba_binomial(): Distribution-free Bayesian Binomial Tests",
        "dfba_beta_bayes_factor(): Bayes Factor for Posterior Beta Distribution",
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        "dfba_beta_contrast(): Bayesian Contrasts",
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        "dfba_bayes_vs_t_power(): Simulated Distribution-Free Bayesian Power and $t$ Power",
        "dfba_power_curve(): Power Curves",
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