pcev: Principal Component of Explained Variance

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]
MaintainerMaxime Turgeon <maxime.turgeon@mail.mcgill.ca>
LicenseGPL (>= 2)
URL http://github.com/GreenwoodLab/pcev
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the pcev package in your browser

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

pcev documentation built on May 2, 2019, 12:45 p.m.