Description Usage Arguments Value
Funció que avalua la calibració i la dicriminació d'un model logístic
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model |
a logistic model (an object of class "glm", usually, a result of a call to glm). |
nOutcome |
names of the outcome (should be the same than in the original dataset). |
calibration |
logical. Should be the Hosmer-Lemeshow test for calibration performed? Default is TRUE. |
roc |
logical. Should be discrimination assessed? Default is TRUE. |
g |
numerical. Number of groups for the Hosmer-Lemeshow test. Default value is g = 10. Only needed if calibration is TRUE. |
cal.plot |
logical. Should be the calibration plot obtained? Default is TRUE. |
cal.title |
string. Title to be included in the calibration plot. Default is NULL (no title is included). |
roc.plot |
logical. Should be the ROC curve plotted? Default is TRUE. |
roc.title |
string. Title to be included in the ROC plot. Default is NULL (no title is included). |
cal.name |
string. Name for the file to save the calibration plot. Should be specified if calibration and cal.plot are TRUE. |
roc.name |
string. Name for the file to save the ROC plot. Should be specified if roc and roc.plot are TRUE. |
save |
logical. Should be the plots saved at disk? Default is FALSE. |
path |
Local directory to save the plots. Default is getwd(). |
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