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:	0.2.0
Imports:	rlang, chk, glmnet, corpcor, Matrix, purrr, rsvd, svd, pls, irlba, RSpectra, proxy, matrixStats, fitdistrplus
Suggests:	covr, randomForest, testthat, magrittr, knitr, rmarkdown, MASS
Published:	2024-03-28
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
CRAN checks:	multivarious results

Documentation:

Reference manual:	multivarious.pdf
Vignettes:	Introduction to the multivarious Package

Downloads:

Package source:	multivarious_0.2.0.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

Linking:

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