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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.
Package details |
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Author | Nicole Kraemer, Juliane Schaefer |
Maintainer | Nicole Kraemer <kraemer_r_packages@yahoo.de> |
License | GPL (>= 2) |
Version | 0.2-6 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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