cdcsis: Conditional Distance Correlation and Its Related Feature Screening Method

Gives conditional distance correlation and performs the conditional distance correlation sure independence screening procedure for ultrahigh dimensional data. The conditional distance correlation is a novel conditional dependence measurement of two random variables given a third variable. The conditional distance correlation sure independence screening is used for screening variables in ultrahigh dimensional setting.

Version: 1.0
Depends: R (≥ 3.0.1), stats
Imports: ks
Suggests: MASS, energy
Published: 2014-10-21
Author: Canhong Wen, Wenliang Pan, Mian Huang, and Xueqin Wang
Maintainer: Canhong Wen <wencanhong at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: cdcsis results

Downloads:

Reference manual: cdcsis.pdf
Package source: cdcsis_1.0.tar.gz
Windows binaries: r-devel: cdcsis_1.0.zip, r-release: cdcsis_1.0.zip, r-oldrel: cdcsis_1.0.zip
OS X El Capitan binaries: r-release: cdcsis_1.0.tgz
OS X Mavericks binaries: r-oldrel: cdcsis_1.0.tgz

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