isva: Independent Surrogate Variable Analysis

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

Version: 1.3
Depends: qvalue, fastICA
Published: 2011-09-07
Author: Andrew E Teschendorff
Maintainer: <a.teschendorff at ucl.ac.uk>
License: GPL-2
CRAN checks: isva results

Downloads:

Package source: isva_1.3.tar.gz
MacOS X binary: not available, see check log.
Windows binary: isva_1.3.zip
Reference manual: isva.pdf
Old sources: isva archive