GreenwoodLab/pcev: Principal Component of Explained Variance
Version 2.2.2

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.

Getting started

Package details

Maintainer
LicenseGPL (>=2)
Version2.2.2
URL http://github.com/GreenwoodLab/pcev
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("GreenwoodLab/pcev")
GreenwoodLab/pcev documentation built on Feb. 4, 2018, 5:14 p.m.