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), which seeks the maximize the proportion of variance (in the response vector) being explained by a set of covariates.

AuthorMaxime Turgeon [aut, cre], Aurelie Labbe [aut], Karim Oualkacha [aut]
Date of publication2016-12-05 18:28:47
MaintainerMaxime Turgeon <maxime.turgeon@mail.mcgill.ca>
LicenseGPL (>= 2)
Version1.1.1
http://github.com/GreenwoodLab/pcev

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Files in this package

pcev
pcev/inst
pcev/inst/doc
pcev/inst/doc/pcev.R
pcev/inst/doc/pcev.pdf
pcev/inst/doc/pcev.Rnw
pcev/NAMESPACE
pcev/NEWS.md
pcev/data
pcev/data/position.rda
pcev/data/methylation.rda
pcev/data/index.rda
pcev/data/pheno.rda
pcev/R
pcev/R/pcev.R pcev/R/methods.R pcev/R/estimatePcev.R pcev/R/functions.R
pcev/vignettes
pcev/vignettes/pcev.Rnw
pcev/README.md
pcev/MD5
pcev/build
pcev/build/vignette.rds
pcev/DESCRIPTION
pcev/man
pcev/man/estimatePcev.Rd pcev/man/computePCEV.Rd pcev/man/pcev.Rd pcev/man/PcevObj.Rd pcev/man/permutePval.Rd pcev/man/methylation.Rd pcev/man/wilksPval.Rd pcev/man/roysPval.Rd

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