elasticnet v1.02

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by Hui Zou

Elastic Net Regularization and Variable Selection

Efficient procedures for fitting an entire elastic net sequence. The elastic net methodology is described in the paper below. The package also implements the sparse PCA algorithm based on the elastic net/lasso.

Functions in elasticnet

Name Description
predict.enet Make predictions or extract coefficients from a fitted elastic net model
print.spca Print method for spca objects
print.enet Print method for enet objects
enet Fits Elastic Net regression models
pitprops Pitprops correlation data
print.arrayspc Print method for arrayspc objects
plot.enet Plot method for enet objects
cv.enet Computes K-fold cross-validated error curve for elastic net
spca Sparse Principal Components Analysis
diabetes Blood and other measurements in diabetics
arrayspc Sparse PCs of Microarrays
elasticnet-internal Internal elasticnet functions
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Details

Date 2004-12-12
License GPL version 2 or newer
URL http://www-stat.stanford.edu/~hzou/PAPERS/enet.pdf and http://www-stat.stanford.edu/~hzou/PAPERS/sparsepc.pdf
Packaged Wed Dec 15 01:05:28 2004; hzou
depends base , lars , R
Contributors Hui Zou, Trevor Hastie

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