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
MultANOVA_1.1.0.zip(r-4.7-any)MultANOVA_1.1.0.zip(r-4.6-any)MultANOVA_1.1.0.zip(r-4.5-any)
MultANOVA_1.1.0.tgz(r-4.6-any)MultANOVA_1.1.0.tgz(r-4.5-any)
MultANOVA_1.1.0.tar.gz(r-4.7-any)MultANOVA_1.1.0.tar.gz(r-4.6-any)
MultANOVA_1.1.0.tgz(r-4.6-emscripten)
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.

1.00 score 223 downloads 4 exports 20 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK108
source / vignettesOK140
linux-releaseOK116
macos-releaseOK171
macos-oldrelOK186
windows-develOK78
windows-releaseOK88
windows-oldrelOK79
wasm-releaseOK75

Exports:DCDAFisherSMultANOVAMultLSD

Dependencies:clicpp11ellipsefarverggplot2ggrepelgluegtableisobandlabelinglifecycleR6RColorBrewerRcpprlangS7scalesvctrsviridisLitewithr