cvInfo: Extract Cross-Validation Results
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes
cvInfo R Documentation
Extract Cross-Validation Results
Description
Extract cross-validation results from the value object returned by a
weighted learning statistical method of DynTxRegime.
Usage
cvInfo(object, ...)
Arguments
object
A value object returned by a weighted learning statistical
method of DynTxRegime
...
Ignored.
Details
Methods are developed for all weighted learning methods implemented in
DynTxRegime. Specifically, OWL, RWL, BOWL, and EARL.
DynTxRegime documentation built on Nov. 25, 2023, 1:09 a.m.
R Package Documentation
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| cvInfo | R Documentation |
Extract Cross-Validation Results
Description
Extract cross-validation results from the value object returned by a weighted learning statistical method of DynTxRegime.
Usage
cvInfo(object, ...)
Arguments
object |
A value object returned by a weighted learning statistical method of DynTxRegime |
... |
Ignored. |
Details
Methods are developed for all weighted learning methods implemented in DynTxRegime. Specifically, OWL, RWL, BOWL, and EARL.
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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