High-Dimensional Analysis of Variance
Block-wise indexable data.frame
Dummy-coding of a single vector
Extracting the Extended Model Frame from a Formula or Fit
Extract estimates for a given factor combination
High-Dimensional Analysis of Variance
Timeplot for Combined Effects
Update a Model without Factor
ANOVA Principal Component Analysis - APCA
ASCA Plot Methods
ASCA Result Methods
Analysis of Variance Simultaneous Component Analysis - ASCA
Biplot for ASCA models
Linear Mixed Model PCA
Model Frame and Model Matrix for ASCA-like Models
Multilevel Simultaneous Component Analysis - MSCA
PC-ANOVA Result Methods
Flip signs of a component/factor combination in a SCA/PCA object
PC-ANOVA Result Methods
Principal Components Analysis of Variance Simultaneous Component Analy...
Permutation Based MANOVA - PERMANOVA
Permutation for HDANOVA
Principal Response Curves
Objects exported from other packages
Simultaenous Component Analysis
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.
Useful links