elasticnet: Elastic-Net for Sparse Estimation and Sparse PCA

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This package provides functions for fitting the entire solution path of the Elastic-Net and also provides functions for estimating sparse Principal Components. The Lasso solution paths can be computed by the same function. First version: 2005-10.

Author
Hui Zou <hzou@stat.umn.edu> and Trevor Hastie <hastie@stanford.edu>
Date of publication
2012-06-28 08:57:54
Maintainer
Hui Zou <hzou@stat.umn.edu>
License
GPL (>= 2)
Version
1.1
URLs

View on CRAN

Man pages

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

Files in this package

elasticnet
elasticnet/MD5
elasticnet/R
elasticnet/R/enet_funcs.R
elasticnet/NAMESPACE
elasticnet/man
elasticnet/man/spca.Rd
elasticnet/man/print.spca.Rd
elasticnet/man/print.enet.Rd
elasticnet/man/print.arrayspc.Rd
elasticnet/man/predict.enet.Rd
elasticnet/man/plot.enet.Rd
elasticnet/man/pitprops.Rd
elasticnet/man/enet.Rd
elasticnet/man/elasticnet-internal.Rd
elasticnet/man/diabetes.Rd
elasticnet/man/cv.enet.Rd
elasticnet/man/arrayspc.Rd
elasticnet/DESCRIPTION
elasticnet/data
elasticnet/data/pitprops.RData
elasticnet/data/diabetes.RData