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:William Cha [aut, cre]

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'))

Peer review:

Bug tracker:https://github.com/williamcha/pwrab/issues

On CRAN:

3.40 score 5 stars 6 scripts 96 downloads 2 exports 0 dependencies

Last updated 7 years agofrom:29f1f76f1f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:AB_t2nAB_t2n_prop

Dependencies: