pcev: Principal Component of Explained Variance
Version 1.1.1

Principal component of explained variance (PCEV) is a statistical tool for the analysis of a multivariate response vector. It is a dimension-reduction technique, similar to Principal component analysis (PCA), which seeks the maximize the proportion of variance (in the response vector) being explained by a set of covariates.

Package details

AuthorMaxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut]
Date of publication2016-12-05 18:28:47
MaintainerMaxime Turgeon <maxime.turgeon@mail.mcgill.ca>
LicenseGPL (>= 2)
Version1.1.1
URL http://github.com/GreenwoodLab/pcev
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("pcev")

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pcev documentation built on May 30, 2017, 8:18 a.m.