extractNetBenefit: The net benefit for a model
In OHDSI/PredictionComparison: Package for comparing patient level predictions developed using OHDSI's PatientLevelPreidiction package
Description
Usage
Arguments
Details
Value
Description
This function calculates the net benefit for a model
Usage
1
extractNetBenefit(runPlp, type = NULL, modelId = NULL)
Arguments
runPlp
A object of class 'runPlp' returned by implementing runPlp() or the output when implementing an existing model
Details
Users need to input a trained model (the output of runPlp()) or the output of running an existing model
Value
A data.frame containing the columns: pt, netbenefit, treatall and modelId. Pt is the probability treshold or a scaled risk score (if using an existing model)
OHDSI/PredictionComparison documentation built on July 14, 2020, 6:16 p.m.
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Description Usage Arguments Details Value
Description
This function calculates the net benefit for a model
Usage
1 | extractNetBenefit(runPlp, type = NULL, modelId = NULL)
|
Arguments
runPlp |
A object of class 'runPlp' returned by implementing runPlp() or the output when implementing an existing model |
Details
Users need to input a trained model (the output of runPlp()) or the output of running an existing model
Value
A data.frame containing the columns: pt, netbenefit, treatall and modelId. Pt is the probability treshold or a scaled risk score (if using an existing model)
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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