isva: Independent Surrogate Variable Analysis

Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors.

Version: 1.7
Depends: qvalue, fastICA
Published: 2012-09-25
Author: Andrew E Teschendorff
Maintainer: <a.teschendorff at ucl.ac.uk>
License: GPL-2
NeedsCompilation: no
CRAN checks: isva results

Downloads:

Package source: isva_1.7.tar.gz
MacOS X binary: isva_1.7.tgz
Windows binary: isva_1.7.zip
Reference manual: isva.pdf
Old sources: isva archive