glmnet v1.6
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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.cv.glmnet | make predictions from a "cv.glmnet" object. | |
| cv.glmnet | Cross-validation for glmnet | |
| print.glmnet | print a glmnet object | |
| plot.cv.glmnet | plot the cross-validation curve produced by cv.glmnet | |
| deviance.glmnet | Extract the deviance from a glmnet object | |
| glmnet | fit a GLM with lasso or elasticnet regularization | |
| plot.glmnet | plot coefficients from a "glmnet" object | |
| predict.glmnet | make predictions from a "glmnet" object. | |
| glmnet-package | Elastic net model paths for some generalized linear models | |
| glmnet-internal | Internal glmnet functions | |
| No Results! | ||
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Details
| Type | Package |
| Date | 2011-04-19 |
| License | GPL-2 |
| URL | http://www.jstatsoft.org/v33/i01/. |
| Packaged | 2011-04-20 02:03:38 UTC; hastie |
| Repository | CRAN |
| Date/Publication | 2011-04-24 06:08:29 |
| depends | Matrix |
| Contributors | Rob Tibshirani, Trevor Hastie, Jerome Friedman |
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