parcor: Regularized estimation of partial correlation matrices

The package estimates the matrix of partial correlations based on different regularized regression methods: lasso, adaptive lasso, PLS, and Ridge Regression. In addition, the package provides model selection for lasso, adaptive lasso and Ridge regression based on cross-validation.

Version: 0.2-4
Depends: MASS, glmnet, ppls, Epi, GeneNet
Published: 2013-08-20
Author: Nicole Kraemer, Juliane Schaefer
Maintainer: Nicole Kraemer <nicole.kraemer at tum.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: parcor citation info
Materials: ChangeLog
In views: gR
CRAN checks: parcor results

Downloads:

Reference manual: parcor.pdf
Package source: parcor_0.2-4.tar.gz
Windows binaries: r-devel: parcor_0.2-4.zip, r-release: parcor_0.2-4.zip, r-oldrel: parcor_0.2-4.zip
OS X Snow Leopard binaries: r-release: parcor_0.2-4.tgz, r-oldrel: parcor_0.2-4.tgz
OS X Mavericks binaries: r-release: parcor_0.2-4.tgz
Old sources: parcor archive

Reverse dependencies:

Reverse imports: CorReg