{ "_id": "6ad34ec2de48616761a36ae3", "Package": "DFBA", "Type": "Package", "Title": "Distribution-Free Bayesian Analysis", "Version": "0.1.0", "Authors@R": "c(person(given = c(\"Daniel\", \"H.\"), family = \"Barch\", \nemail = \"daniel.barch@tufts.edu\",\nrole = c(\"aut\", \"cre\")),\nperson(given = c(\"Richard\", \"A.\"), family = \"Chechile\",\nemail = \"richard.chechile@tufts.edu\",\nrole = \"aut\"))", "Maintainer": "Daniel H. Barch ", "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.", "License": "GPL-2", "Encoding": "UTF-8", "RoxygenNote": "7.2.3", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-17 09:55:12 UTC", "User": "root" }, "Author": "Daniel H. Barch [aut, cre], Richard A. Chechile [aut]", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-12-14 02:37:07 UTC", "RemoteUrl": "https://github.com/cran/DFBA", "RemoteRef": "HEAD", "RemoteSha": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "_user": "cran", "_type": "src", "_file": "DFBA_0.1.0.tar.gz", "_fileid": "https://r2.ropensci.org/429607af5bd8f05ed4824d3ee51ce867315d54ae5e60f4c2cc5a36ed8ce73aaa", "_filesize": 2095762, "_sha256": "429607af5bd8f05ed4824d3ee51ce867315d54ae5e60f4c2cc5a36ed8ce73aaa", "_expires": "2027-01-25T09:59:30.000Z", "_created": "2026-10-17T09:55:12.000Z", "_published": "2026-10-17T10:32:34.373Z", "_buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 117374925133, "time": 176, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12097027912" }, { "job": 117374925078, "time": 147, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12096509626" }, { "job": 117374954348, "time": 180, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12096659076" }, { "job": 117374925083, "time": 94, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12096654154" }, { "job": 117374925141, "time": 126, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12097532295" }, { "job": 117374925250, "time": 215, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12097482866" } ], "_upstream": "https://github.com/cran/DFBA", "_commit": { "id": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "author": "Daniel H. Barch ", "committer": "cran-robot ", "message": "version 0.1.0\n", "time": 1702521427 }, "_maintainer": { "name": "Daniel H. Barch", "email": "daniel.barch@tufts.edu" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 2.10", "role": "Depends" }, { "package": "methods", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "bookdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "vdiffr", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 11, "_updates": [], "_tags": [], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "followers": 632, "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 12106, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/DFBA" }, "_searchresults": 3, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/DFBA.html", "extra/manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "0.1.0", "date": "2023-12-13" } ], "_exports": [ "dfba_bayes_vs_t_power", "dfba_beta_bayes_factor", "dfba_beta_contrast", "dfba_beta_descriptive", "dfba_binomial", "dfba_bivariate_concordance", "dfba_gamma", "dfba_mann_whitney", "dfba_mcnemar", "dfba_median_test", "dfba_power_curve", "dfba_sign_test", "dfba_sim_data", "dfba_wilcoxon", "plot", "show" ], "_help": [ { "page": "dfba_bayes_vs_t_power", "title": "Simulated Distribution-Free Bayesian Power and _t_ Power", "topics": [ "dfba_bayes_vs_t_power" ] }, { "page": "dfba_beta_bayes_factor", "title": "Bayes Factor for Posterior Beta Distribution", "topics": [ "dfba_beta_bayes_factor" ] }, { "page": "dfba_beta_contrast", "title": "Bayesian Contrasts", "topics": [ "dfba_beta_contrast" ] }, { "page": "dfba_beta_descriptive", "title": "Descriptive Statistics for a Beta Distribution", "topics": [ "dfba_beta_descriptive" ] }, { "page": "dfba_binomial", "title": "Bayesian Binomial Rate Parameter Inference", "topics": [ "dfba_binomial" ] }, { "page": "dfba_bivariate_concordance", "title": "Bayesian Distribution-Free Correlation and Concordance", "topics": [ "dfba_bivariate_concordance" ] }, { "page": "dfba_gamma", "title": "Goodman-Kruskal Gamma", "topics": [ "dfba_gamma" ] }, { "page": "dfba_classes", "title": "Classes for DFBA", "topics": [ "dfba_beta_contrast_out-class", "dfba_beta_descriptive_out-class", "dfba_binomial_out-class", "dfba_bivariate_concordance_out-class", "dfba_bivariate_concordance_star_out-class", "dfba_gamma_out-class", "dfba_interval_BF_out-class", "dfba_mann_whitney_large_out-class", "dfba_mann_whitney_small_out-class", "dfba_mcnemar_out-class", "dfba_median_test_out-class", "dfba_point_BF_out-class", "dfba_power_curve_out-class", "dfba_sign_test_out-class", "dfba_sim_data_out-class", "dfba_t_power_out-class", "dfba_wilcoxon_large_out-class", "dfba_wilcoxon_small_out-class" ] }, { "page": "dfba_mann_whitney", "title": "Independent Samples Test (Mann Whitney U)", "topics": [ "dfba_mann_whitney" ] }, { "page": "dfba_mcnemar", "title": "Bayesian Repeated-Measures McNemar Test for Change", "topics": [ "dfba_mcnemar" ] }, { "page": "dfba_median_test", "title": "Bayesian Median Test", "topics": [ "dfba_median_test" ] }, { "page": "dfba_power_curve", "title": "Power Curves", "topics": [ "dfba_power_curve" ] }, { "page": "dfba_sign_test", "title": "Bayesian Sign Test", "topics": [ "dfba_sign_test" ] }, { "page": "dfba_sim_data", "title": "Simulated Data Generator and Inferential Comparison", "topics": [ "dfba_sim_data" ] }, { "page": "dfba_wilcoxon", "title": "Repeated-Measures Test (Wilcoxon Signed-Ranks Test)", "topics": [ "dfba_wilcoxon" ] } ], "_rundeps": [], "_vignettes": [ { "source": "dfba_beta_bayes_factor.Rmd", "filename": "dfba_beta_bayes_factor.html", "title": "dfba_beta_bayes_factor", "engine": "knitr::rmarkdown", "headings": [ "Introduction and Overview", "Types of Bayes Factors and Their Interpretation", "Using the dfba_beta_bayes_factor() Function", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_beta_contrast.Rmd", "filename": "dfba_beta_contrast.html", "title": "dfba_beta_contrast", "engine": "knitr::rmarkdown", "headings": [ "Overview", "$K$ Independent Groups with Binary Categorical Data", "Using the dfba_beta_contrast Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_beta_descriptive.Rmd", "filename": "dfba_beta_descriptive.html", "title": "dfba_beta_descriptive", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Examples", "Example 1", "Example 2", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_binomial.Rmd", "filename": "dfba_binomial.html", "title": "dfba_binomial", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Theoretical and Historical Background", "Using the dfba_binomial() Function", "Examples", "Example 1", "Example 2", "Conclusion", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_bivariate_concordance.Rmd", "filename": "dfba_bivariate_concordance.html", "title": "dfba_bivariate_concordance", "engine": "knitr::rmarkdown", "headings": [ "Theoretical Background", "Using the dfba_bivariate_concordance() Function", "Examples", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_gamma.Rmd", "filename": "dfba_gamma.html", "title": "dfba_gamma", "engine": "knitr::rmarkdown", "headings": [ "Theoretical Background", "Using the dfba_gamma() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_mann_whitney.Rmd", "filename": "dfba_mann_whitney.html", "title": "dfba_mann_whitney", "engine": "knitr::rmarkdown", "headings": [ "Introduction and Overview", "Theoretical Framework for the Bayesian Mann-Whitney", "Mathematical Basis for the Large-$n$ Model", "Using the dfba_mann_whitney() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_mcnemar.Rmd", "filename": "dfba_mcnemar.html", "title": "dfba_mcnemar", "engine": "knitr::rmarkdown", "headings": [ "Introduction to the dfba_mcnemar() Function", "Using the dfba_mcnemar() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_median_test.Rmd", "filename": "dfba_median_test.html", "title": "dfba_median_test", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Theoretical Framework for the Bayesian Median Test", "Using the dfba_median_test() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_power_functions.Rmd", "filename": "dfba_power_functions.html", "title": "dfba_power_functions", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Using the dfba_bayes_vs_t_power() Function", "Example 1", "Using the dfba_power_curve() Function", "Examples", "Example 2: Paired Design with Differences Sampled from a Normal Distribution", "Example 3: Paired Design with Differences Sampled from a Weibull Distribution" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_sign_test.Rmd", "filename": "dfba_sign_test.html", "title": "dfba_sign_test", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Using the dfba_sign_test() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_sim_data.Rmd", "filename": "dfba_sim_data.html", "title": "dfba_sim_data", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Nine Probability Models for Data Generation", "Normal Distribution", "Weibull Distribution", "Cauchy Distribution", "Lognormal Distribution", "$\\chi^2$ Distribution", "Logistic Distribution", "Exponential Distribution", "Gumbel Distribution", "Pareto Distribution", "Using the dfba_sim_data() Function", "Examples", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "dfba_wilcoxon.Rmd", "filename": "dfba_wilcoxon.html", "title": "dfba_wilcoxon", "engine": "knitr::rmarkdown", "headings": [ "Introduction and Overview", "The Bayesian Wilcoxon Signed-Rank Procedure", "Using the dfba_wilcoxon() Function", "Example", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 }, { "source": "intro.Rmd", "filename": "intro.html", "title": "Introduction", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Frequentist and Bayesian Approaches to Nonparametric Methods", "The DFBA Package", "DFBA Functions", "dfba_beta_descriptive(): Supplementary descriptive statistics for the beta distribution", "dfba_binomial(): Distribution-free Bayesian Binomial Tests", "dfba_beta_bayes_factor(): Bayes Factor for Posterior Beta Distribution", "dfba_mcnemar(): Bayesian Repeated-Measures McNemar Test for Change", "dfba_beta_contrast(): Bayesian Contrasts", "dfba_sign_test():Bayesian Sign Test", "dfba_median_test(): Bayesian Median Test", "dfba_wilcoxon(): Bayesian Distribution-free Repeated-Measures Test (Wilcoxon Signed-Ranks Test)", "dfba_mann_whitney(): Bayesian Distribution-free Independent Samples Test (Mann Whitney U)", "dfba_sim_data(): Simulated Data Generator and Inferential Comparison", "dfba_bayes_vs_t_power(): Simulated Distribution-Free Bayesian Power and $t$ Power", "dfba_power_curve(): Power Curves", "dfba_bivariate_concordance(): Bayesian Distribution-Free Correlation and Concordance", "dfba_gamma(): Bayesian Goodman-Kruskal Gamma", "References" ], "created": "2023-12-14 02:37:07", "modified": "2023-12-14 02:37:07", "commits": 1 } ], "_score": 5.747642645132659, "_indexed": true, "_nocasepkg": "dfba", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-10-17T09:57:06.000Z", "distro": "resolute", "commit": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "fileid": "https://r2.ropensci.org/f791e5f965f5ddb82246e00e192e4507172cd83969fcf231cea12adba4d16711", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805" }, { "r": "4.6.1", "os": "linux", "version": "0.1.0", "date": "2026-10-17T09:57:09.000Z", "distro": "resolute", "commit": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "fileid": "https://r2.ropensci.org/4e5ec54105f387a7245a5c9d0c0fd460a4c998cbe3ce9e9084a804f71c7d2f26", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-10-17T09:57:07.000Z", "commit": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "fileid": "https://r2.ropensci.org/cebc081daaaac9eaefea7ca0196556f16a3aa6bdd8a9993861b739cca76dfb17", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805" }, { "r": "4.7.0", "os": "win", "version": "0.1.0", "date": "2026-10-17T09:56:16.000Z", "commit": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "fileid": "https://r2.ropensci.org/0b7b6fa1274c49bb3aa72cab941bd26a29984c198377f64dadaab2758c7961dc", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805" }, { "r": "4.6.1", "os": "win", "version": "0.1.0", "date": "2026-10-17T09:56:40.000Z", "commit": "cfdcc71645843adf6c7e7bc1c2d3269ef1bed2e1", "fileid": "https://r2.ropensci.org/bd28956472d80421e57dcc82a64cd95046e3f579d6db676d9e305b89e7923816", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/39022752805" } ] }