Package: SmartSVA
Type: Package
Title: Implementation of Smart SVA
Version: 0.1.0
Author: Jun Chen <Chen.Jun2@mayo.edu>, Ehsan Behnam <behnamgh@usc.edu>
Maintainer: Jun Chen <Chen.Jun2@mayo.edu>
Description: Introduces an improved Surrogate Variable Analysis
    algorithm that automatically captures salient features from data in the presence
    of confounding factors. The algorithm is based on the popular 'SVA' package and
    proposes a revision on it that achieves 10 times faster running time while
    trading no accuracy loss in return.
License: GPL-3
Depends: sva, isva
Encoding: UTF-8
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-11-11 21:41:04 UTC; Ehsan
Repository: CRAN
Date/Publication: 2016-11-13 16:57:27
