Package: dSVA 1.0

Seunggeun (Shawn) Lee

dSVA: Direct Surrogate Variable Analysis

Functions for direct surrogate variable analysis, which can identify hidden factors in high-dimensional biomedical data.

Authors:Seunggeun Lee

dSVA_1.0.tar.gz
dSVA_1.0.zip(r-4.7)dSVA_1.0.zip(r-4.6)dSVA_1.0.zip(r-4.5)
dSVA_1.0.tgz(r-4.6-any)dSVA_1.0.tgz(r-4.5-any)
dSVA_1.0.tar.gz(r-4.7-any)dSVA_1.0.tar.gz(r-4.6-any)
dSVA_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
dSVA/json (API)

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

On CRAN:

Conda:

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

1.00 score 5 scripts 170 downloads 1 exports 59 dependencies

Last updated from:9e44498ef0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK270
source / vignettesOK201
linux-release-x86_64OK226
macos-release-arm64OK253
macos-oldrel-arm64OK309
windows-develOK183
windows-releaseOK178
windows-oldrelOK165
wasm-releaseOK130

Exports:dSVA

Dependencies:annotateAnnotationDbiaskpassBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurlDBIedgeRfastmapformatRfutile.loggerfutile.optionsgenefiltergenericsgluehttrIRangesjsonliteKEGGRESTlambda.rlatticelifecyclelimmalocfitMatrixMatrixGenericsmatrixStatsmemoisemgcvmimenlmeopensslpkgconfigpngR6rlangRSQLiteS4VectorsSeqinfosnowstatmodsurvivalsvasysvctrsXMLxtableXVector