An open-source project 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: | 1.1 |
Imports: | car, dummies, ggplot2, MASS, moments, parallel, penalized, plyr, reshape2, sn |
Published: | 2016-07-09 |
Author: | Nelson Lee Afanador, Thanh Tran, and Lionel Blanchet |
Maintainer: | Nelson Lee Afanador <nelson.afanador at mvdalab.com> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | mvdalab results |
Reference manual: | mvdalab.pdf |
Package source: | mvdalab_1.1.tar.gz |
Windows binaries: | r-devel: mvdalab_1.1.zip, r-release: mvdalab_1.1.zip, r-oldrel: mvdalab_1.1.zip |
OS X Mavericks binaries: | r-release: mvdalab_1.1.tgz, r-oldrel: mvdalab_1.1.tgz |
Old sources: | mvdalab archive |
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