isva: Independent Surrogate Variable Analysis

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

Author
Andrew E Teschendorff
Date of publication
2013-11-04 10:22:42
Maintainer
Andrew Teschendorff <a.teschendorff@ucl.ac.uk>
License
GPL-2
Version
1.8

View on CRAN

Man pages

DoISVA
Feature selection using independent surrogate variables
EstDimRMT
Estimates dimensionality of a data set using Random Matrix...
isvaFn
Main engine function for inference of independent surrogate...
isva-package
Independent Surrogate Variable Analysis
simdataISVA
Simulated data for ISVA

Files in this package

isva
isva/NAMESPACE
isva/data
isva/data/simdataISVA.RData
isva/R
isva/R/EstDimRMT.R
isva/R/isvaFn.R
isva/R/DoISVA.R
isva/MD5
isva/DESCRIPTION
isva/man
isva/man/DoISVA.Rd
isva/man/isva-package.Rd
isva/man/isvaFn.Rd
isva/man/simdataISVA.Rd
isva/man/EstDimRMT.Rd