Articles

Getting Started

Introduction to the multivarious Package

Pre-processing pipelines in multiblock

SVD wrapper, PCA and the bi_projector

Unsupervised & Cross-Block Models

Contrastive PCA: Finding What's Different Between Groups

Multiblock basics: one projector, many tables

Fast Matrix Approximation with the Nyström Method

Partial projection: working with incomplete feature sets

Partial Least Squares Correlation (PLSC) with Inference

Supervised & Inference

Linear Re-representation with regress()

Mixed Effect Operators with mixed_regress()

Classifying in latent space: k-NN & Random-Forest wrappers

Permutation Testing in multivarious

Cross-validation for Dimensionality Reduction

Composing Projectors: Chaining Models

Extending multiblock: CCA and glmnet Examples