Package: APCanalysis 1.0

APCanalysis: Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons

Analysis of data from unreplicated orthogonal experiments such as 2-level factorial and fractional factorial designs and Plackett-Burman designs using the all possible comparisons (APC) methodology developed by Miller (2005) <doi:10.1198/004017004000000608>.

Authors:Arden Miller and Abu Zar Md. Shafiullah.

APCanalysis_1.0.tar.gz
APCanalysis_1.0.zip(r-4.7-any)APCanalysis_1.0.zip(r-4.6-any)APCanalysis_1.0.zip(r-4.5-any)
APCanalysis_1.0.tgz(r-4.6-any)APCanalysis_1.0.tgz(r-4.5-any)
APCanalysis_1.0.tar.gz(r-4.7-any)APCanalysis_1.0.tar.gz(r-4.6-any)
APCanalysis_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
APCanalysis/json (API)

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

On CRAN:

Conda:

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

1.00 score 10 scripts 523 downloads 6 exports 0 dependencies

Last updated from:7721803ffa. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK128
linux-release-x86_64OK135
macos-release-arm64OK134
macos-oldrel-arm64OK125
windows-develOK79
windows-releaseOK79
windows-oldrelOK70
wasm-releaseOK81

Exports:apcEERpenaltiesFDRpenaltiesIERpenaltiesplot.apcsummary.apc

Dependencies: