newCVStep: An n-Fold Cross Validation Step
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes
newCVStep R Documentation
An n-Fold Cross Validation Step
Description
An n-Fold Cross Validation Step
Usage
.newCVStep(cvObject, methodObject, lambda, suppress, ...)
Arguments
cvObject
Information regarding folds and treatment groups
methodObject
Information needed for method specific objective function
lambda
numeric A single tuning parameter value
suppress
integer indicating printing preference
...
additional inputs.
Value
The average value across all successfully trained folds
DynTxRegime documentation built on Nov. 25, 2023, 1:09 a.m.
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| newCVStep | R Documentation |
An n-Fold Cross Validation Step
Description
An n-Fold Cross Validation Step
Usage
.newCVStep(cvObject, methodObject, lambda, suppress, ...)
Arguments
cvObject |
Information regarding folds and treatment groups |
methodObject |
Information needed for method specific objective function |
lambda |
numeric A single tuning parameter value |
suppress |
integer indicating printing preference |
... |
additional inputs. |
Value
The average value across all successfully trained folds
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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