pvca: Principal Variance Component Analysis (PVCA)
Version 1.16.0

This package contains the function to assess the batch sourcs by fitting all "sources" as random effects including two-way interaction terms in the Mixed Model(depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book "Batch Effects and Noise in Microarray Experiements, chapter 12.

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AuthorPierre Bushel <bushel@niehs.nih.gov>
Bioconductor views BatchEffect Microarray
Date of publicationNone
MaintainerJianying LI <li11@niehs.nih.gov>
LicenseLGPL (>= 2.0)
Version1.16.0
Package repositoryView on Bioconductor
InstallationInstall the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("pvca")

Man pages

pvcaBatchAssess: Principal Variance Component Analysis (PVCA)
pvca-package: A package that provides an approach to assess the source of...

Functions

pvca Man page
pvca-package Man page
pvcaBatchAssess Man page Source code

Files

DESCRIPTION
NAMESPACE
R
R/pvcaBatchAssess.R
build
build/vignette.rds
inst
inst/doc
inst/doc/pvca.R
inst/doc/pvca.Rnw
inst/doc/pvca.pdf
man
man/pvca-package.Rd
man/pvcaBatchAssess.Rd
vignettes
vignettes/pvca.Rnw
vignettes/pvcaEstimate.pdf
pvca documentation built on May 20, 2017, 10:55 p.m.