pcev-package: pcev: A package for computing principal components of...
In GreenwoodLab/pcev: Principal Component of Explained Variance
Description
PCEV is a statistical tool for the analysis of a multivariate response vector.
It is a dimension-reduction technique, similar to Principal Components
Analysis (PCA), which seeks the maximize the proportion of variance (in the
response vector) being explained by a set of covariates.
pcev functions
estimatePcev
computePCEV
PcevObj
permutePval
wilksPval
roysPval
GreenwoodLab/pcev documentation built on May 6, 2019, 6:35 p.m.
R Package Documentation
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Description
PCEV is a statistical tool for the analysis of a multivariate response vector. It is a dimension-reduction technique, similar to Principal Components Analysis (PCA), which seeks the maximize the proportion of variance (in the response vector) being explained by a set of covariates.
pcev functions
estimatePcev
computePCEV
PcevObj
permutePval
wilksPval
roysPval
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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