Package: BE 0.2.4
Kyun-Seop Bae
BE: Bioequivalence Study Data Analysis
Analyze bioequivalence study data with industrial strength. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design. Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).
Authors:
BE_0.2.4.tar.gz
BE_0.2.4.tar.gz(r-4.5-noble)BE_0.2.4.tar.gz(r-4.4-noble)
BE_0.2.4.tgz(r-4.4-emscripten)BE_0.2.4.tgz(r-4.3-emscripten)
BE.pdf |BE.html✨
BE/json (API)
NEWS
| # Install 'BE' in R: |
| install.packages('BE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:098abd2e3a. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 18 2024 |
| R-4.5-linux | OK | Dec 18 2024 |
Exports:assertbe2x2ci2cvci2msecv2msedrawinddrawmeansdhodgesmse2cvNCAResult4BEplot2x2plot2x2aplot2x2bpow2x2cipow2x2msepowcvpowmsescaledBoundss2x2cisscvssmsessscvtest2x2TrimData
Dependencies:R.methodsS3R.oortf
