bootOob: The oob bootstrap (smooths leave-one-out CV)
In oosse: Out-of-Sample R² with Standard Error Estimation
bootOob R Documentation
The oob bootstrap (smooths leave-one-out CV)
Description
The oob bootstrap (smooths leave-one-out CV)
Usage
bootOob(y, x, id, fitFun, predFun)
Arguments
y
The vector of outcome values
x
The matrix of predictors
id
sample indices sampled with replacement
fitFun
The function for fitting the prediction model
predFun
The function for evaluating the prediction model
Details
The implementation follows \insertCiteEfron1997oosse
Value
matrix of errors and inclusion times
References
\insertAllCited
See Also
estMSE boot632
oosse documentation built on May 29, 2024, 10:35 a.m.
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| bootOob | R Documentation |
The oob bootstrap (smooths leave-one-out CV)
Description
The oob bootstrap (smooths leave-one-out CV)
Usage
bootOob(y, x, id, fitFun, predFun)
Arguments
y |
The vector of outcome values |
x |
The matrix of predictors |
id |
sample indices sampled with replacement |
fitFun |
The function for fitting the prediction model |
predFun |
The function for evaluating the prediction model |
Details
The implementation follows \insertCiteEfron1997oosse
Value
matrix of errors and inclusion times
References
\insertAllCitedSee Also
estMSE boot632
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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