pcev: Principal Component of Explained Variance
Version 2.2.1

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), that seeks to 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], Stepan Grinek [aut]
Date of publication2017-10-11 03:30:56 UTC
MaintainerMaxime Turgeon <[email protected]>
LicenseGPL (>= 2)
Version2.2.1
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")

Try the pcev package in your browser

Any scripts or data that you put into this service are public.

pcev documentation built on Oct. 13, 2017, 1:40 a.m.