DFBA: 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.
Documentation:
| Reference manual: | DFBA.html ,DFBA.pdf |
| Vignettes: | dfba_beta_bayes_factor (source,R code)
dfba_beta_contrast (source,R code)
dfba_beta_descriptive (source,R code)
dfba_binomial (source,R code)
dfba_bivariate_concordance (source,R code)
dfba_gamma (source,R code)
dfba_mann_whitney (source,R code)
dfba_mcnemar (source,R code)
dfba_median_test (source,R code)
dfba_power_functions (source,R code)
dfba_sign_test (source,R code)
dfba_sim_data (source,R code)
dfba_wilcoxon (source,R code)
intro (source,R code)
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