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.

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Description file content

Package
pcev
Title
Principal Component of Explained Variance
Version
2.2.1
Description
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.
Depends
R (>= 3.0.0)
Imports
RMTstat, stats, corpcor
License
GPL (>= 2)
LazyData
true
URL
BugReports
http://github.com/GreenwoodLab/pcev/issues
Suggests
knitr
VignetteBuilder
knitr
RoxygenNote
6.0.1
NeedsCompilation
no
Packaged
2017-10-11 02:16:39 UTC; mturgeon
Author
Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut], Stepan Grinek [aut]
Maintainer
Maxime Turgeon
Repository
CRAN
Date/Publication
2017-10-11 03:30:56 UTC

install.packages('pcev')

2.2.1

12 days ago

http://github.com/GreenwoodLab/pcev

Maxime Turgeon

GPL (>= 2)

Depends on

R (>= 3.0.0)

Imports

RMTstat, stats, corpcor

Suggests

knitr

Discussions