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Power analysis for AB testing. The calculations are based on the Welch's unequal variances t-test, which is generally preferred over the Student's t-test when sample sizes and variances of the two groups are unequal, which is frequently the case in AB testing. In such situations, the Student's t-test will give biased results due to using the pooled standard deviation, unlike the Welch's t-test.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.3.1) |
| Imports: | stats |
| Suggests: | testthat |
| Published: | 2017-06-06 |
| Author: | William Cha [aut, cre] |
| Maintainer: | William Cha <william.minseuk.cha at gmail.com> |
| BugReports: | http://github.com/williamcha/pwrAB/issues |
| License: | GPL (≥ 3) |
| URL: | http://github.com/williamcha/pwrAB |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | pwrAB results |
| Reference manual: | pwrAB.pdf |
| Package source: | pwrAB_0.1.0.tar.gz |
| Windows binaries: | r-devel: pwrAB_0.1.0.zip, r-release: pwrAB_0.1.0.zip, r-oldrel: pwrAB_0.1.0.zip |
| macOS binaries: | r-release (arm64): pwrAB_0.1.0.tgz, r-oldrel (arm64): pwrAB_0.1.0.tgz, r-release (x86_64): pwrAB_0.1.0.tgz, r-oldrel (x86_64): pwrAB_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
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