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A suite of functions that allow the user to analyze A/B test data in a Bayesian framework. Intended to be a drop-in replacement for common frequentist hypothesis test such as the t-test and chi-sq test.
| Version: | 1.1.3 |
| Imports: | Rcpp (≥ 0.12.4), ggplot2 (≥ 3.2.0), methods, rlang (≥ 0.4.0) |
| LinkingTo: | Rcpp |
| Suggests: | testthat, knitr, rmarkdown, magrittr, plumber (≥ 0.3.0) |
| Published: | 2021-06-25 |
| Author: | Frank Portman [aut, cre] |
| Maintainer: | Frank Portman <frank1214 at gmail.com> |
| BugReports: | https://github.com/FrankPortman/bayesAB/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/FrankPortman/bayesAB |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | Bayesian |
| CRAN checks: | bayesAB results |
| Reference manual: | bayesAB.pdf |
| Vignettes: |
Introduction to bayesAB |
| Package source: | bayesAB_1.1.3.tar.gz |
| Windows binaries: | r-devel: bayesAB_1.1.3.zip, r-release: bayesAB_1.1.3.zip, r-oldrel: bayesAB_1.1.3.zip |
| macOS binaries: | r-release (arm64): bayesAB_1.1.3.tgz, r-oldrel (arm64): bayesAB_1.1.3.tgz, r-release (x86_64): bayesAB_1.1.3.tgz, r-oldrel (x86_64): bayesAB_1.1.3.tgz |
| Old sources: | bayesAB archive |
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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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