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>.

Version:	1.0.1
Depends:	R (≥ 4.0)
Imports:	ellipse, ggplot2, ggrepel, stats
Published:	2025-09-01
DOI:	10.32614/CRAN.package.MultANOVA
Author:	Benjamin Mahieu [aut, cre], Veronique Cariou [aut]
Maintainer:	Benjamin Mahieu <benjamin.mahieu at oniris-nantes.fr>
License:	GPL (≥ 3)
NeedsCompilation:	no
CRAN checks:	MultANOVA results

Documentation:

Reference manual:

MultANOVA.html , MultANOVA.pdf

Downloads:

Package source:	MultANOVA_1.0.1.tar.gz
Windows binaries:	r-devel: MultANOVA_1.0.1.zip, r-release: MultANOVA_1.0.1.zip, r-oldrel: MultANOVA_1.0.1.zip
macOS binaries:	r-release (arm64): MultANOVA_1.0.1.tgz, r-oldrel (arm64): MultANOVA_1.0.1.tgz, r-release (x86_64): MultANOVA_1.0.1.tgz, r-oldrel (x86_64): MultANOVA_1.0.1.tgz

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