mvdalab: Multivariate Data Analysis Laboratory

An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users). Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Version: 1.7
Imports: car, ggplot2, MASS, moments, parallel, penalized, plyr, reshape2, sn
Published: 2022-10-05
DOI: 10.32614/CRAN.package.mvdalab
Author: Nelson Lee Afanador, Thanh Tran, Lionel Blanchet, and Richard Baumgartner
Maintainer: Nelson Lee Afanador <nelson.afanador at>
License: GPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mvdalab results


Reference manual: mvdalab.pdf


Package source: mvdalab_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mvdalab_1.7.tgz, r-oldrel (arm64): mvdalab_1.7.tgz, r-release (x86_64): mvdalab_1.7.tgz, r-oldrel (x86_64): mvdalab_1.7.tgz
Old sources: mvdalab archive


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