newRWL: Complete a Residual Weighted Learning Analysis
In DynTxRegime: Methods for Estimating Optimal Dynamic Treatment Regimes
.newRWL R Documentation
Complete a Residual Weighted Learning Analysis
Description
Complete a Residual Weighted Learning Analysis
Usage
.newRWL(kernel, ...)
## S4 method for signature 'SubsetList'
.newRWL(
moPropen,
moMain,
responseType,
data,
response,
txName,
lambdas,
cvFolds,
surrogate,
guess,
kernel,
fSet,
suppress,
...
)
Arguments
kernel
A Kernel object
DynTxRegime documentation built on June 8, 2025, 10:57 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| .newRWL | R Documentation |
Complete a Residual Weighted Learning Analysis
Description
Complete a Residual Weighted Learning Analysis
Usage
.newRWL(kernel, ...)
## S4 method for signature 'SubsetList'
.newRWL(
moPropen,
moMain,
responseType,
data,
response,
txName,
lambdas,
cvFolds,
surrogate,
guess,
kernel,
fSet,
suppress,
...
)
Arguments
kernel |
A Kernel object |
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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