Package: mvdalab
Type: Package
Title: Multivariate Data Analysis Laboratory
Version: 1.7
Date: 2022-10-05
Author: Nelson Lee Afanador, Thanh Tran, Lionel Blanchet, and Richard
        Baumgartner
Maintainer: Nelson Lee Afanador <nelson.afanador@gmail.com>
Description: 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.
License: GPL-3
LazyData: true
Imports: car, ggplot2, MASS, moments, parallel, penalized, plyr,
        reshape2, sn
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-07-03 10:55:23 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-10-05 22:00:14 UTC
RemoteUrl: https://github.com/cran/mvdalab
RemoteRef: HEAD
RemoteSha: 21e9983ecc4b15df922058de38bf3d7748cae2cb