coef.cva.glmnet: Extract coefficients from a cva.glmnet object
In nestedcv: Nested Cross-Validation with 'glmnet' and 'caret'
coef.cva.glmnet R Documentation
Extract coefficients from a cva.glmnet object
Description
Extracts model coefficients from a fitted cva.glmnet() object.
Usage
## S3 method for class 'cva.glmnet'
coef(object, ...)
Arguments
object
Fitted cva.glmnet object.
...
Other arguments passed to coef.glmnet() e.g. s the value of
lambda at which coefficients are required.
Value
Sparse matrix containing coefficients from a cv.glmnet model
nestedcv documentation built on April 4, 2025, 2:21 a.m.
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| coef.cva.glmnet | R Documentation |
Extract coefficients from a cva.glmnet object
Description
Extracts model coefficients from a fitted cva.glmnet() object.
Usage
## S3 method for class 'cva.glmnet'
coef(object, ...)
Arguments
object |
Fitted |
... |
Other arguments passed to |
Value
Sparse matrix containing coefficients from a cv.glmnet model
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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