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.
|Depends:||R (≥ 3.0.1), stats|
|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)]|
|CRAN checks:||cdcsis results|
|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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