Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut], Stepan Grinek [aut] |
| Maintainer | Maxime Turgeon <maxime.turgeon@mail.mcgill.ca> |
| License | GPL (>= 2) |
| Version | 2.2.2 |
| URL | http://github.com/GreenwoodLab/pcev |
| Package repository | View 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.
