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 |
| 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 Snow Leopard binaries: | r-release: cdcsis_1.0.tgz, r-oldrel: cdcsis_1.0.tgz |
| OS X Mavericks binaries: | r-release: cdcsis_1.0.tgz |