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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:cfdcc71645. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 194 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | OK | 183 | ||
| wasm-release | OK | 103 |
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:
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
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Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Last update: 2023-12-14
Started: 2023-12-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated Distribution-Free Bayesian Power and _t_ Power | dfba_bayes_vs_t_power |
| Bayes Factor for Posterior Beta Distribution | dfba_beta_bayes_factor |
| Bayesian Contrasts | dfba_beta_contrast |
| Descriptive Statistics for a Beta Distribution | dfba_beta_descriptive |
| Bayesian Binomial Rate Parameter Inference | dfba_binomial |
| Bayesian Distribution-Free Correlation and Concordance | dfba_bivariate_concordance |
| Goodman-Kruskal Gamma | dfba_gamma |
| Classes for DFBA | dfba_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 Change | dfba_mcnemar |
| Bayesian Median Test | dfba_median_test |
| Power Curves | dfba_power_curve |
| Bayesian Sign Test | dfba_sign_test |
| Simulated Data Generator and Inferential Comparison | dfba_sim_data |
| Repeated-Measures Test (Wilcoxon Signed-Ranks Test) | dfba_wilcoxon |