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: 0.2-6
Depends: MASS, glmnet, ppls, Epi, GeneNet
Published: 2014-09-04
Author: Nicole Kraemer, Juliane Schaefer
Maintainer: Nicole Kraemer <kraemer_r_packages at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: parcor citation info
Materials: ChangeLog
In views: gR
CRAN checks: parcor results


Reference manual: parcor.pdf
Package source: parcor_0.2-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: parcor_0.2-6.tgz, r-oldrel: parcor_0.2-6.tgz
Old sources: parcor archive

Reverse dependencies:

Reverse imports: BigSEM, bootnet, MTE, QTL.gCIMapping
Reverse suggests: CorReg


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