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), which seeks the maximize the proportion of variance (in the response vector) being explained by a set of covariates.
|Author||Maxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut]|
|Date of publication||2016-12-05 18:28:47|
|Maintainer||Maxime Turgeon <email@example.com>|
|License||GPL (>= 2)|
computePCEV: Principal Component of Explained Variance
estimatePcev: Estimation of PCEV
methylation: Methylation values around BLK gene
pcev: pcev: A package for computing principal components of...
PcevObj: Constructor functions for the different pcev objects
permutePval: Permutation p-value
roysPval: Roy's largest root exact test
wilksPval: Wilks' lambda exact test