dot-estimatingFnNestedCV: An estimating function for cvAUC with initial estimates...
In benkeser/predtmle: Small sample estimators of cross-validated prediction metrics
Description
Usage
Arguments
Value
Description
An estimating function for cvAUC with initial estimates generated via
nested cross-validation
Usage
1
.estimatingFnNestedCV(auc = 0.5, prediction_list, folds, gn, K)
Arguments
auc
The value of auc to find root for
prediction_list
Entry in prediction_list
folds
Cross-validation folds
gn
Marginal probability of outcome
K
Number of CV folds
Value
A numeric value of the estimating function evaluated at current
auc estimate.
benkeser/predtmle documentation built on May 20, 2019, 5:41 p.m.
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Description Usage Arguments Value
Description
An estimating function for cvAUC with initial estimates generated via nested cross-validation
Usage
1 | .estimatingFnNestedCV(auc = 0.5, prediction_list, folds, gn, K)
|
Arguments
auc |
The value of auc to find root for |
prediction_list |
Entry in prediction_list |
folds |
Cross-validation folds |
gn |
Marginal probability of outcome |
K |
Number of CV folds |
Value
A numeric value of the estimating function evaluated at current
auc estimate.
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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