Package: PQA 1.0.0

PQA: Perform the Pearson-Quetelet Analysis on Two-Way Contingency Tables

Tools to perform Pearson-Quetelet analysis on two-way contingency tables. The package computes absolute and relative frequencies, Quetelet indices, Pearson-Quetelet decomposition, apex tables, and chi-square summaries for interpreting associations between categorical variables.

Authors:Boris Mirkin [aut], Luca Coraggio [aut, cre], Trevor Fenner [aut], Zina Taran [aut]

PQA_1.0.0.tar.gz
PQA_1.0.0.zip(r-4.7)PQA_1.0.0.zip(r-4.6)PQA_1.0.0.zip(r-4.5)
PQA_1.0.0.tgz(r-4.6-any)PQA_1.0.0.tgz(r-4.5-any)
PQA_1.0.0.tar.gz(r-4.7-any)PQA_1.0.0.tar.gz(r-4.6-any)
PQA_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
PQA/json (API)

# Install 'PQA' in R:
install.packages('PQA', repos = c('https://lcorag.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 395 downloads 1 exports 0 dependencies

Last updated from:cbf0cc46f3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK111
source / vignettesOK142
linux-release-x86_64OK102
macos-release-arm64OK82
macos-oldrel-arm64OK73
windows-develOK72
windows-releaseOK65
windows-oldrelOK71
wasm-releaseOK82

Exports:pqa

Dependencies: