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
[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:
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