Fast and Robust Surrogate Variable Analysis R package SmartSVA version 0.1.3 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. Software Depends: R (>= 3.1.0), sva, isva, RSpectra Imports: Rcpp, stats, utils LinkingTo: Rcpp, RcppEigen Jun Chen <Chen.Jun2@mayo.edu> Comprehensive R Archive Network (CRAN) Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu> GPL-3 2017-05-28 application/tgz https://CRAN.R-project.org/package=SmartSVA doi:10.32614/CRAN.package.SmartSVA