twostageSL.control: Control parameters for the twostageSL
In wuziyueemory/twostageSL: Two-Stage Super Learner Prediction Function
Description
Usage
Arguments
Value
Description
Control parameters for the twostageSL
Usage
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twostageSL.control(
saveFitLibrary = TRUE,
saveCVFitLibrary = TRUE,
trimLogit = 0.001
)
Arguments
saveFitLibrary
Logical. Should the fit for each algorithm be saved in the output from twostageSL.
saveCVFitLibrary
Logical. Should cross-validated fits for each algorithm be saved in the output from twostageSL.
trimLogit
number between 0.0 and 0.5. What level to truncate the logit transformation to maintain a bounded loss function when using the NNloglik method.
Value
A list containing the control parameters.
wuziyueemory/twostageSL documentation built on Oct. 19, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
Control parameters for the twostageSL
Usage
1 2 3 4 5 | twostageSL.control(
saveFitLibrary = TRUE,
saveCVFitLibrary = TRUE,
trimLogit = 0.001
)
|
Arguments
saveFitLibrary |
Logical. Should the fit for each algorithm be saved in the output from |
saveCVFitLibrary |
Logical. Should cross-validated fits for each algorithm be saved in the output from |
trimLogit |
number between 0.0 and 0.5. What level to truncate the logit transformation to maintain a bounded loss function when using the NNloglik method. |
Value
A list containing the control parameters.
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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