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:Kyun-Seop Bae [aut]

BE_0.2.4.tar.gz
BE_0.2.4.tar.gz(r-4.7-any)BE_0.2.4.tar.gz(r-4.6-any)
BE_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
BE/json (API)
NEWS

# Install 'BE' in R:
install.packages('BE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.65 score 1 stars 45 scripts 251 downloads 32 mentions 24 exports 3 dependencies

Last updated from:098abd2e3a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK102
source / vignettesOK143
linux-release-x86_64OK91
wasm-releaseOK104

Exports:assertbe2x2ci2cvci2msecv2msedrawinddrawmeansdhodgesmse2cvNCAResult4BEplot2x2plot2x2aplot2x2bpow2x2cipow2x2msepowcvpowmsescaledBoundss2x2cisscvssmsessscvtest2x2TrimData

Dependencies:R.methodsS3R.oortf