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MultANOVA  

Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework
View on CRAN: Click here


Download and install MultANOVA package within the R console
Install from CRAN:
install.packages("MultANOVA")

Install from Github:
library("remotes")
install_github("cran/MultANOVA")

Install by package version:
library("remotes")
install_version("MultANOVA", "1.1.0")



Attach the package and use:
library("MultANOVA")
Maintained by
Benjamin Mahieu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-01
Latest Update: 2025-09-01
Description:
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>.
How to cite:
Benjamin Mahieu (2025). MultANOVA: Analysis of Designed High-Dimensional Data using the Comprehensive MultANOVA Framework. R package version 1.1.0, https://cran.r-project.org/web/packages/MultANOVA. Accessed 24 Oct. 2026.
Previous versions and publish date:
1.0.1 (2025-09-01 11:50), (2026-07-09 08:11)
Other packages that cited MultANOVA R package
View MultANOVA citation profile
Other R packages that MultANOVA depends, imports, suggests or enhances
Complete documentation for MultANOVA
Functions, R codes and Examples using the MultANOVA R package
Full MultANOVA package functions and examples
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