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glmnet (version 1.7.3)

Lasso and elastic-net regularized generalized linear models

Description

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.

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Install

install.packages('glmnet')

Monthly Downloads

169,136

Version

1.7.3

License

GPL-2

Maintainer

Trevor Hastie

Last Published

February 19th, 2012

Functions in glmnet (1.7.3)

cv.glmnet

Cross-validation for glmnet
deviance.glmnet

Extract the deviance from a glmnet object
predict.glmnet

make predictions from a "glmnet" object.
print.glmnet

print a glmnet object
plot.glmnet

plot coefficients from a "glmnet" object
glmnet-internal

Internal glmnet functions
glmnet-package

Elastic net model paths for some generalized linear models
plot.cv.glmnet

plot the cross-validation curve produced by cv.glmnet
glmnet

fit a GLM with lasso or elasticnet regularization
predict.cv.glmnet

make predictions from a "cv.glmnet" object.