Package: MultANOVA 1.1.0

MultANOVA: Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework

A comprehensive and computationally fast framework to analyze high dimensional data associated with an experimental design based on Multiple ANOVAs (MultANOVA). It includes testing the overall significance of terms in the model, post-hoc analyses of significant terms and variable selection. Details may be found in Mahieu, B., & Cariou, V. (2025). MultANOVA Followed by Post Hoc Analyses for Designed High‐Dimensional Data: A Comprehensive Framework That Outperforms ASCA, rMANOVA, and VASCA. Journal of Chemometrics, 39(7). <doi:10.1002/cem.70039>.

Authors:Benjamin Mahieu [aut, cre], Veronique Cariou [aut]

MultANOVA_1.1.0.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MultANOVA/json (API)

# Install 'MultANOVA' in R:
install.packages('MultANOVA', repos = c('https://bmahieuoniris.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.

1.30 score 126 downloads 4 exports 20 dependencies

Last updated from:dc0d2a5957. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK161
linux-release-x86_64OK135
macos-release-arm64OK214
macos-oldrel-arm64OK128
windows-develOK95
windows-releaseOK133
windows-oldrelOK76
wasm-releaseOK93

Exports:DCDAFisherSMultANOVAMultLSD

Dependencies:clicpp11ellipsefarverggplot2ggrepelgluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr