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
DOI: 10.32614/CRAN.package.multivarious
Author: Bradley Buchsbaum ORCID iD [aut, cre]
Maintainer: Bradley Buchsbaum <brad.buchsbaum at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: multivarious results


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


Package source: multivarious_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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