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DFBA  

Distribution-Free Bayesian Analysis
View on CRAN: Click here


Download and install DFBA package within the R console
Install from CRAN:
install.packages("DFBA")

Install from Github:
library("remotes")
install_github("cran/DFBA")

Install by package version:
library("remotes")
install_version("DFBA", "0.1.0")



Attach the package and use:
library("DFBA")
Maintained by
Daniel H. Barch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-12-13
Latest Update: 2023-12-13
Description:
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.
How to cite:
Daniel H. Barch (2023). DFBA: Distribution-Free Bayesian Analysis. R package version 0.1.0, https://cran.r-project.org/web/packages/DFBA. Accessed 09 Jun. 2026.
Previous versions and publish date:
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Complete documentation for DFBA
Functions, R codes and Examples using the DFBA R package
Full DFBA package functions and examples
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