Rdocumentation
powered by
Learn R Programming
isva (version 1.9)
Independent Surrogate Variable Analysis
Description
Independent Surrogate Variable Analysis is an algorithm for feature selection in the presence of potential confounding factors (see Teschendorff AE et al 2011,
).
Copy Link
Link to current version
Version
Version
1.9
1.8
1.7
1.6
1.5
1.3
1.2
1.1
1.0
Install
install.packages('isva')
Monthly Downloads
998
Version
1.9
License
GPL-2
Maintainer
Andrew Teschendorff
Last Published
January 14th, 2017
Functions in isva (1.9)
Search all functions
simdataISVA
Simulated data for ISVA
EstDimRMT
Estimates dimensionality of a data set using Random Matrix Theory
isvaFn
Main engine function for inference of independent surrogate variables (ISVs)
DoISVA
Feature selection using independent surrogate variables
isva
Independent Surrogate Variable Analysis