glmnet-internal: Internal glmnet functions
In DexGroves/glmnet: Lasso and Elastic-Net Regularized Generalized Linear Models
Description
Usage
Details
Author(s)
Description
Internal glmnet functions
Usage
1
2
3
4
fix.lam(lam)
lambda.interp(lambda,s)
nonzeroCoef(beta, bystep=FALSE)
glmnet_softmax(x)
Details
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 fortran. plotCoef is called by the plot method for
glmnet objects.
Author(s)
Trevor Hastie
DexGroves/glmnet documentation built on May 6, 2019, 2:12 p.m.
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Description Usage Details Author(s)
Description
Internal glmnet functions
Usage
1 2 3 4 | fix.lam(lam)
lambda.interp(lambda,s)
nonzeroCoef(beta, bystep=FALSE)
glmnet_softmax(x)
|
Details
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 fortran. plotCoef is called by the plot method for
glmnet objects.
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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