Nicole Krämer
2010-Jan-06 17:12 UTC
[R] [R-pkgs] parcor 0.2-2 - Regularized Partial Correlation Matrices with (adaptive) Lasso, PLS, and Ridge Regression
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 Kr?mer, Juliane Sch?fer, Anne-Laure Boulesteix. Regularized Estimation of Large Scale Gene Association Networks using Gaussian Graphical Models BMC Bioinformatics, 10:384, 2009. http://www.biomedcentral.com/1471-2105/10/384 Please send an email to nkraemer at cs.tu-berlin.de for any comments, suggestions, or bug reports. Best regards, Nicole & Juliane -- Dr. Nicole Kr?mer 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 _______________________________________________ R-packages mailing list R-packages at r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages