Vignettes and other documentation

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Vignettes from package 'multivarious'

multivarious::CPCAplus		Contrastive PCA: Finding What's Different Between Groups	HTML	source	R code
multivarious::Classifier		Classifying in latent space: k-NN & Random-Forest wrappers	HTML	source	R code
multivarious::Composing_Projectors		Composing Projectors: Chaining Models	HTML	source	R code
multivarious::CrossValidation		Cross-validation for Dimensionality Reduction	HTML	source	R code
multivarious::Extending		Extending multiblock: CCA and glmnet Examples	HTML	source	R code
multivarious::Introduction		Introduction to the multivarious Package	HTML	source	R code
multivarious::Multiblock		Multiblock basics: one projector, many tables	HTML	source	R code
multivarious::Nystrom		Fast Matrix Approximation with the Nyström Method	HTML	source	R code
multivarious::PLSC		Partial Least Squares Correlation (PLSC) with Inference	HTML	source	R code
multivarious::Partial_Projection		Partial projection: working with incomplete feature sets	HTML	source	R code
multivarious::PermutationTesting		Permutation Testing in multivarious	HTML	source	R code
multivarious::PreProcessing		Pre-processing pipelines in multiblock	HTML	source	R code
multivarious::Regress		Linear Re-representation with regress()	HTML	source	R code
multivarious::SVD_PCA		SVD wrapper, PCA and the bi_projector	HTML	source	R code