Package: SmartSVA
Type: Package
Title: Fast and Robust Surrogate Variable Analysis
Version: 0.1.3
Author: Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Maintainer: Jun Chen <Chen.Jun2@mayo.edu>
Description: Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.
License: GPL-3
Depends: R (>= 3.1.0), sva, isva, RSpectra
Imports: Rcpp, stats, utils
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8
LazyData: true
NeedsCompilation: yes
Packaged: 2017-05-28 02:13:50 UTC; m123485
Repository: CRAN
Date/Publication: 2017-05-28 07:22:56 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 02:00:36 UTC; unix
Archs: SmartSVA.so.dSYM
