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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.

Version: 0.1.0
Depends: R (≥ 2.10)
Imports: methods, graphics, stats
Suggests: knitr, rmarkdown, bookdown, testthat (≥ 3.0.0), vdiffr
Published: 2023-12-13
DOI: 10.32614/CRAN.package.DFBA
Author: Daniel H. Barch [aut, cre], Richard A. Chechile [aut]
Maintainer: Daniel H. Barch <daniel.barch at tufts.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: DFBA results

Documentation:

Reference manual: DFBA.pdf
Vignettes: 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_functions
dfba_sign_test
dfba_sim_data
dfba_wilcoxon
intro

Downloads:

Package source: DFBA_0.1.0.tar.gz
Windows binaries: r-devel: DFBA_0.1.0.zip, r-release: DFBA_0.1.0.zip, r-oldrel: DFBA_0.1.0.zip
macOS binaries: r-release (arm64): DFBA_0.1.0.tgz, r-oldrel (arm64): DFBA_0.1.0.tgz, r-release (x86_64): DFBA_0.1.0.tgz, r-oldrel (x86_64): DFBA_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=DFBA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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