[R-pkgs] parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression

From: Nicole Krämer <nkraemer_at_cs.tu-berlin.de>
Date: Wed, 06 Jan 2010 18:12:13 +0100

Dear R-users,

we are happy to announce the release of our R package parcor.

The package contains tools to estimate the matrix of partial correlations based on different regularized regression methods: Lasso, adaptive Lasso, PLS, and Ridge Regression. In addition, parcor provides cross-validation based model selection for Lasso, adaptive Lasso and Ridge Regression.

More details can be found in the accompanying article

Nicole Krämer, Juliane Schäfer, Anne-Laure Boulesteix. Regularized Estimation of Large Scale Gene Association Networks using Gaussian Graphical Models
BMC Bioinformatics, 10:384, 2009.


Please send an email to nkraemer_at_cs.tu-berlin.de for any comments, suggestions, or bug reports.

Best regards,

Nicole & Juliane

Dr. Nicole Krämer
TU Berlin
Machine Learning/Intelligent Data Analysis	fon: (+49) 30 314 78627
Franklinstr. 28/29, 10587 Berlin, Germany	fax: (+49) 30 314 78622

web: http://ml.cs.tu-berlin.de/~nkraemer

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Received on Mon 11 Jan 2010 - 19:03:26 EST

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