superlearner_wrapper: Wrapper for fitting a main terms random forest
In benkeser/cvtmleAUC: Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve
Description
Usage
Arguments
Value
Examples
Description
Wrapper for fitting a main terms random forest
Usage
1
superlearner_wrapper(train, test, SL.library = c("SL.mean"), ...)
Arguments
train
...
test
...
SL.library
super learner library
Value
A list
Examples
1
# TO DO: Add
benkeser/cvtmleAUC documentation built on May 16, 2019, 2:30 a.m.
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Description Usage Arguments Value Examples
Description
Wrapper for fitting a main terms random forest
Usage
1 | superlearner_wrapper(train, test, SL.library = c("SL.mean"), ...)
|
Arguments
train |
... |
test |
... |
SL.library |
super learner library |
Value
A list
Examples
1 | # TO DO: Add
|
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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