Package: DFBA 0.1.0

Daniel H. Barch

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.

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

DFBA_0.1.0.tar.gz
DFBA_0.1.0.tar.gz(r-4.7-any)DFBA_0.1.0.tar.gz(r-4.6-any)
DFBA_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
DFBA/json (API)

# Install 'DFBA' in R:
install.packages('DFBA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.92 score 2 packages 3 scripts 651 downloads 16 exports 0 dependencies

Last updated from:cfdcc71645. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK194
source / vignettesOK181
linux-release-x86_64OK183
wasm-releaseOK103

Exports:dfba_bayes_vs_t_powerdfba_beta_bayes_factordfba_beta_contrastdfba_beta_descriptivedfba_binomialdfba_bivariate_concordancedfba_gammadfba_mann_whitneydfba_mcnemardfba_median_testdfba_power_curvedfba_sign_testdfba_sim_datadfba_wilcoxonplotshow

Dependencies:

dfba_beta_bayes_factor
Introduction and Overview | Types of Bayes Factors and Their Interpretation | Using the dfba_beta_bayes_factor() Function | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_beta_contrast
Overview | $K$ Independent Groups with Binary Categorical Data | Using the dfba_beta_contrast Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_beta_descriptive
Overview | Examples | Example 1 | Example 2 | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_binomial
Overview | Theoretical and Historical Background | Using the dfba_binomial() Function | Examples | Example 1 | Example 2 | Conclusion | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_bivariate_concordance
Theoretical Background | Using the dfba_bivariate_concordance() Function | Examples | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_gamma
Theoretical Background | Using the dfba_gamma() Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_mann_whitney
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

Last update: 2023-12-14
Started: 2023-12-14

dfba_mcnemar
Introduction to the dfba_mcnemar() Function | Using the dfba_mcnemar() Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_median_test
Introduction | Theoretical Framework for the Bayesian Median Test | Using the dfba_median_test() Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_power_functions
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

Last update: 2023-12-14
Started: 2023-12-14

dfba_sign_test
Introduction | Using the dfba_sign_test() Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

dfba_sim_data
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

Last update: 2023-12-14
Started: 2023-12-14

dfba_wilcoxon
Introduction and Overview | The Bayesian Wilcoxon Signed-Rank Procedure | Using the dfba_wilcoxon() Function | Example | References

Last update: 2023-12-14
Started: 2023-12-14

Introduction
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

Last update: 2023-12-14
Started: 2023-12-14

Readme and manuals

Help Manual

Help pageTopics
Simulated Distribution-Free Bayesian Power and _t_ Powerdfba_bayes_vs_t_power
Bayes Factor for Posterior Beta Distributiondfba_beta_bayes_factor
Bayesian Contrastsdfba_beta_contrast
Descriptive Statistics for a Beta Distributiondfba_beta_descriptive
Bayesian Binomial Rate Parameter Inferencedfba_binomial
Bayesian Distribution-Free Correlation and Concordancedfba_bivariate_concordance
Goodman-Kruskal Gammadfba_gamma
Classes for DFBAdfba_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
Independent Samples Test (Mann Whitney U)dfba_mann_whitney
Bayesian Repeated-Measures McNemar Test for Changedfba_mcnemar
Bayesian Median Testdfba_median_test
Power Curvesdfba_power_curve
Bayesian Sign Testdfba_sign_test
Simulated Data Generator and Inferential Comparisondfba_sim_data
Repeated-Measures Test (Wilcoxon Signed-Ranks Test)dfba_wilcoxon