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-4.5-noble)DFBA_0.1.0.tar.gz(r-4.4-noble)
DFBA_0.1.0.tgz(r-4.4-emscripten)DFBA_0.1.0.tgz(r-4.3-emscripten)
DFBA.pdf |DFBA.html
DFBA/json (API)

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

Peer review:

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

3.15 score 566 downloads 16 exports 0 dependencies

Last updated 11 months agofrom:cfdcc71645. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 08 2024
R-4.5-linuxOKNov 08 2024

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

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dfba_beta_contrast

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dfba_beta_descriptive

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dfba_binomial

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dfba_bivariate_concordance

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dfba_gamma

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dfba_mann_whitney

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dfba_mcnemar

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dfba_median_test

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dfba_power_functions

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dfba_sign_test

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dfba_sim_data

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dfba_wilcoxon

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Introduction

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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