multivarious: Extensible Data Structures for Multivariate Analysis (original) (raw)
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 |
| URL: | https://bbuchsbaum.github.io/multivarious/ |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | multivarious results |
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