Distribution-Free Bayesian Analysis

A set of functions to perform distribution-free Bayesian analyses. Included are Bayesian analogues to the frequentist Mann-Whitney U test, the Wilcoxon Signed-Ranks test, Kendall's Tau Rank Correlation Coefficient, Goodman and Kruskal's Gamma, McNemar's Test, the binomial test, the sign test, the median test, as well as distribution-free methods for testing contrasts among condition and for computing Bayes factors for hypotheses. The package also includes procedures to estimate the power of distribution-free Bayesian tests based on data simulations using various probability models for the data. The set of functions provide data analysts with a set of Bayesian procedures that avoids requiring parametric assumptions about measurement error and is robust to problem of extreme outlier scores.


Reference manual

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install.packages("DFBA")

0.1.0 by Daniel H. Barch, 3 years ago


Browse source code at https://github.com/cran/DFBA


Authors: Daniel H. Barch [aut, cre] , Richard A. Chechile [aut]


Documentation:   PDF Manual  


GPL-2 license


Imports methods, graphics, stats

Suggests knitr, rmarkdown, bookdown, testthat, vdiffr


Imported by ISPYARDSWinProbabilityGSDesign, bayesics, epiR.


See at CRAN