Package: pvca 1.53.0

Jianying LI

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.

Authors:Pierre Bushel <[email protected]>

pvca_1.53.0.tar.gz
pvca_1.53.0.zip(r-4.7)pvca_1.53.0.zip(r-4.6)pvca_1.53.0.zip(r-4.5)
pvca_1.53.0.tgz(r-4.6-any)pvca_1.53.0.tgz(r-4.5-any)
pvca_1.53.0.tar.gz(r-4.7-any)pvca_1.53.0.tar.gz(r-4.6-any)
pvca_1.53.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pvca/json (API)

# Install 'pvca' in R:
install.packages('pvca', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

On BioConductor:pvca-1.53.0(bioc 3.24)pvca-1.52.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

microarraybatcheffect

5.70 score 1 packages 118 scripts 683 downloads 7 mentions 1 exports 40 dependencies

Last updated from:4399c6ea71. Checks:1 ERROR, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR137
linux-devel-x86_64NOTE175
source / vignettesOK152
linux-release-x86_64NOTE252
macos-release-arm64NOTE138
macos-oldrel-arm64NOTE91
windows-develNOTE125
windows-releaseNOTE120
windows-oldrelNOTE115
wasm-releaseOK114

Exports:pvcaBatchAssess

Dependencies:affyaffyioBiobaseBiocGenericsBiocManagerbootclicpp11farvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelimmalme4MASSMatrixminqanlmenloptrpreprocessCoreR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesstatmodvctrsviridisLitevsnwithr

Batch effect estimation in Microarray data

Rendered frompvca.Rnwusingutils::Sweaveon May 30 2026.

Last update: 2018-08-30
Started: 2013-11-01