High-Dimensional Analysis of Variance

Functions and datasets to support Smilde, Marini, Westerhuis and Liland (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional Data - Applications in Life, Food and Chemical Sciences". This implements and imports a collection of methods for HD-ANOVA data analysis with common interfaces, result- and plotting functions, multiple real data sets and four vignettes covering a range different applications.

HDANOVA

Installation

# Install release version from CRAN  
install.packages("HDANOVA")  
# Install development version from GitHub  
devtools::install_github("khliland/HDANOVA")

HD-ANOVA book

This package contains the main methods described in Age K. Smilde, Federico Marini, Johan A. Westerhuis and Kristian Hovde Liland's book:

Analysis of Variance for High-Dimensional Data
- Applications in Life, Food and Chemical Sciences

Published by Wiley in August 2025.

Main methods:
- ASCA+ - Analysis of Variance Simultaneous Component Analysis
- APCA+ - ANOVA Principal Component Analysis
- APLS+ - ANOVA Partial Least Squares
- LiMM-PCA - Linear Mixed Model PCA
- MSCA - Multilevel Simultaneous Component Analysis
- PC-ANOVA - Principal Component Analysis of Variance
- PRC - Principal Response Curves
- PERMANOVA - Permutation Based MANOVA
A selection of datasets
Common framework and plotting routines