pvca: Principal Variance Component Analysis (PVCA)

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.

AuthorPierre Bushel <bushel@niehs.nih.gov>
Date of publicationNone
MaintainerJianying LI <li11@niehs.nih.gov>
LicenseLGPL (>= 2.0)
Version1.14.0

View on Bioconductor

Files

pvca/DESCRIPTION
pvca/NAMESPACE
pvca/R
pvca/R/pvcaBatchAssess.R
pvca/build
pvca/build/vignette.rds
pvca/inst
pvca/inst/doc
pvca/inst/doc/pvca.R
pvca/inst/doc/pvca.Rnw
pvca/inst/doc/pvca.pdf
pvca/man
pvca/man/pvca-package.Rd pvca/man/pvcaBatchAssess.Rd
pvca/vignettes
pvca/vignettes/pvca.Rnw
pvca/vignettes/pvcaEstimate.pdf

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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