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: 1.2
Imports: car, dummies, ggplot2, MASS, moments, parallel, penalized, plyr, reshape2, sn
Published: 2017-03-01
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_1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: mvdalab_1.2.tgz
OS X Mavericks binaries: r-oldrel: mvdalab_1.2.tgz
Old sources: mvdalab archive


Please use the canonical form to link to this page.