multivarious: Extensible Data Structures for Multivariate Analysis

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Version:	0.3.0
Depends:	R (≥ 4.2.0)
Imports:	rlang, chk, glmnet, corpcor, Matrix, rsvd, svd, pls, irlba, RSpectra, proxy, matrixStats, ggplot2, ggrepel, future.apply, tibble, dplyr, crayon, MASS, methods, cli, withr, assertthat, future, geigen, PRIMME, GPArotation, lifecycle
Suggests:	covr, randomForest, testthat, magrittr, knitr, rmarkdown
Published:	2026-01-21
DOI:	10.32614/CRAN.package.multivarious
Author:	Bradley Buchsbaum [aut, cre]
Maintainer:	Bradley Buchsbaum <brad.buchsbaum at gmail.com>
License:	MIT + file LICENSE
URL:	https://bbuchsbaum.github.io/multivarious/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	multivarious results

Documentation:

Reference manual:

multivarious.html , multivarious.pdf

Vignettes:

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

Downloads:

Package source:	multivarious_0.3.0.tar.gz
Windows binaries:	r-devel: multivarious_0.2.0.zip, r-release: multivarious_0.2.0.zip, r-oldrel: multivarious_0.2.0.zip
macOS binaries:	r-release (arm64): multivarious_0.2.0.tgz, r-oldrel (arm64): multivarious_0.2.0.tgz, r-release (x86_64): multivarious_0.2.0.tgz, r-oldrel (x86_64): multivarious_0.2.0.tgz
Old sources:	multivarious archive

Linking:

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