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-4.5)pwrAB_0.1.0.zip(r-4.4)pwrAB_0.1.0.zip(r-4.3)
pwrAB_0.1.0.tgz(r-4.4-any)pwrAB_0.1.0.tgz(r-4.3-any)
pwrAB_0.1.0.tar.gz(r-4.5-noble)pwrAB_0.1.0.tar.gz(r-4.4-noble)
pwrAB_0.1.0.tgz(r-4.4-emscripten)pwrAB_0.1.0.tgz(r-4.3-emscripten)
pwrAB.pdf |pwrAB.html✨
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 7 years agofrom:29f1f76f1f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
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 |