glmnet v1.7.1

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by Trevor Hastie

Lasso and elastic-net regularized generalized linear models

Extremely efficient procedures for fitting the entire lasso or elastic-net regularization path for linear regression, logistic and multinomial regression models, poisson regression and the Cox model. The algorithm uses cyclical coordinate descent in a pathwise fashion, as described in the paper listed below.

Functions in glmnet

Name Description
predict.glmnet make predictions from a "glmnet" object.
print.glmnet print a glmnet object
plot.cv.glmnet plot the cross-validation curve produced by cv.glmnet
predict.cv.glmnet make predictions from a "cv.glmnet" object.
glmnet-internal Internal glmnet functions
cv.glmnet Cross-validation for glmnet
glmnet-package Elastic net model paths for some generalized linear models
glmnet fit a GLM with lasso or elasticnet regularization
deviance.glmnet Extract the deviance from a glmnet object
plot.glmnet plot coefficients from a "glmnet" object
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Details

Type Package
Date 2011-06-21
License GPL-2
URL http://www.jstatsoft.org/v33/i01/.
Packaged 2011-09-22 15:44:51 UTC; hastie
Repository CRAN
Date/Publication 2011-09-23 11:45:42

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