gcv: Generalised Cross-Validation Score
In lasso2: L1 Constrained Estimation aka `lasso'
Description
Usage
Arguments
Details
Value
Description
Extracts the generalised cross-validation score(s) from fitted
model objects.
Usage
1
Arguments
object
fitted model object; see gcv methods for details.
...
arguments passed to methods.
Details
See documentation.
Value
A vector (or matrix) with the bound(s) (relative [if used] and absolute),
the Lagrangian(s) and the generalised cross-validation score(s) for
the fitted model(s).
lasso2 documentation built on Oct. 8, 2021, 9:10 a.m.
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Description Usage Arguments Details Value
Description
Extracts the generalised cross-validation score(s) from fitted model objects.
Usage
1 |
Arguments
object |
fitted model object; see gcv methods for details. |
... |
arguments passed to methods. |
Details
See documentation.
Value
A vector (or matrix) with the bound(s) (relative [if used] and absolute), the Lagrangian(s) and the generalised cross-validation score(s) for the fitted model(s).
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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