glmnet-internal: Internal glmnet functions
In glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models
glmnet-internal R Documentation
Internal glmnet functions
Description
These are not intended for use by users. lambda.interp does linear
interpolation of the lambdas to obtain a prediction at a new point s.
glmnet_softmax does the classification for multinomial models.
nonzeroCoef determines in an efficient manner which variables are
nonzero in each fit. jerr prints out error messages from the C++ routines.
plotCoef is called by the plot method for glmnet
objects. check_dots is used in coef and predict with
argument exact=TRUE, to make sure user supplies original data used to
fit the "glmnet" object.
Author(s)
Trevor Hastie
glmnet documentation built on Aug. 22, 2023, 9:12 a.m.
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| glmnet-internal | R Documentation |
Internal glmnet functions
Description
These are not intended for use by users. lambda.interp does linear
interpolation of the lambdas to obtain a prediction at a new point s.
glmnet_softmax does the classification for multinomial models.
nonzeroCoef determines in an efficient manner which variables are
nonzero in each fit. jerr prints out error messages from the C++ routines.
plotCoef is called by the plot method for glmnet
objects. check_dots is used in coef and predict with
argument exact=TRUE, to make sure user supplies original data used to
fit the "glmnet" object.
Author(s)
Trevor Hastie
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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