regression.calibration: Regression Calibration
In ayhandis/creditR: A Credit Risk Scoring and Validation Package
Description
Usage
Arguments
Examples
Description
This function allows to make model calibration for a model with logistic regression.
Usage
1
regression.calibration(model, calibration_data, default_flag)
Arguments
model
The scoring model needs to be specified.
calibration_data
A calibration data needs to be specified.
default_flag
The default flag need to specified as string.
Examples
1
regression.calibration(scoring_model, calibration_sample, "default_f")
ayhandis/creditR documentation built on May 9, 2019, 8:41 a.m.
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Description Usage Arguments Examples
Description
This function allows to make model calibration for a model with logistic regression.
Usage
1 | regression.calibration(model, calibration_data, default_flag)
|
Arguments
model |
The scoring model needs to be specified. |
calibration_data |
A calibration data needs to be specified. |
default_flag |
The default flag need to specified as string. |
Examples
1 | regression.calibration(scoring_model, calibration_sample, "default_f")
|
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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