OptimStep: Complete Cross-Validation Step and Final Optimization
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes
OptimStep R Documentation
Complete Cross-Validation Step and Final Optimization
Description
Complete Cross-Validation Step and Final Optimization
Usage
.OptimStep(methodObject, lambdas, cvFolds, txVec, suppress, ...)
Arguments
methodObject
Object parameters for weighted learning method
lambdas
tuning parameter
cvFolds
number of cross-validation folds
suppress
integer indicating screen printing preferences
DynTxRegime documentation built on June 8, 2025, 10:57 a.m.
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.
| OptimStep | R Documentation |
Complete Cross-Validation Step and Final Optimization
Description
Complete Cross-Validation Step and Final Optimization
Usage
.OptimStep(methodObject, lambdas, cvFolds, txVec, suppress, ...)
Arguments
methodObject |
Object parameters for weighted learning method |
lambdas |
tuning parameter |
cvFolds |
number of cross-validation folds |
suppress |
integer indicating screen printing preferences |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.