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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 |
DOI: | 10.32614/CRAN.package.pwrAB |
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.
They may not be fully stable and should be used with caution. We make no claims about them.