cal_metric: Obtain calibration metrics
In kamclean/predictr: Facilitates development and validation of predictive models
cal_metric R Documentation
Obtain calibration metrics
Description
Use to obtain calibration metrics for a predictive model
Usage
cal_metric(predictr = NULL, fit = NULL, hltest = F, risk_ntile = 10)
Arguments
predictr
Output from the predictr function (alternative to fit parameter)
fit
Logistic regression fit object (alternative to predictr parameter)
hltest
Logical value specifying if a Hosmer–Lemeshow test should be performed (default=FALSE)
risk_ntile
Numerical value specifying the number of quantiles for the Hosmer–Lemeshow test (default=10)
Value
Dataframe with the calibration slope and intecept (+/- Hosmer–Lemeshow test)
kamclean/predictr documentation built on Aug. 14, 2022, 4:35 a.m.
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| cal_metric | R Documentation |
Obtain calibration metrics
Description
Use to obtain calibration metrics for a predictive model
Usage
cal_metric(predictr = NULL, fit = NULL, hltest = F, risk_ntile = 10)
Arguments
predictr |
Output from the predictr function (alternative to fit parameter) |
fit |
Logistic regression fit object (alternative to predictr parameter) |
hltest |
Logical value specifying if a Hosmer–Lemeshow test should be performed (default=FALSE) |
risk_ntile |
Numerical value specifying the number of quantiles for the Hosmer–Lemeshow test (default=10) |
Value
Dataframe with the calibration slope and intecept (+/- Hosmer–Lemeshow test)
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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