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

Nicole Krämer nkraemer at cs.tu-berlin.de
Wed Jan 6 18:12:13 CET 2010

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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