Package: pwrAB 0.1.0
pwrAB: Power Analysis for AB Testing
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.
Authors:
pwrAB_0.1.0.tar.gz
pwrAB_0.1.0.zip(r-4.7)pwrAB_0.1.0.zip(r-4.6)pwrAB_0.1.0.zip(r-4.5)
pwrAB_0.1.0.tgz(r-4.6-any)pwrAB_0.1.0.tgz(r-4.5-any)
pwrAB_0.1.0.tar.gz(r-4.7-any)pwrAB_0.1.0.tar.gz(r-4.6-any)
pwrAB_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pwrAB/json (API)
| # Install 'pwrAB' in R: |
| install.packages('pwrAB', repos = c('https://chawm.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/williamcha/pwrab/issues
Last updated from:29f1f76f1f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 103 | ||
| source / vignettes | OK | 136 | ||
| linux-release-x86_64 | OK | 105 | ||
| macos-release-arm64 | OK | 167 | ||
| macos-oldrel-arm64 | OK | 155 | ||
| windows-devel | OK | 111 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 57 | ||
| wasm-release | OK | 89 |
Exports:AB_t2nAB_t2n_prop
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Two-Sample t-Test Power Analysis | AB_t2n |
| Two-Sample t-Test Power Analysis for Proportions | AB_t2n_prop |
