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 yahoo.de> |
| 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: parcor_0.2-6.zip, r-release: parcor_0.2-6.zip, r-oldrel: parcor_0.2-6.zip |
| OS X El Capitan binaries: | r-release: parcor_0.2-6.tgz |
| OS X Mavericks binaries: | r-oldrel: parcor_0.2-6.tgz |
| Old sources: | parcor archive |
| Reverse imports: | BigSEM, bootnet, MTE |
| Reverse suggests: | CorReg |
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