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 [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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=multivarious to link to this page.
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