Description Usage Arguments Value Examples
Function for reclassification table and statistics
1 | reclassify(fit1, fit2, cutoff, cutoff2)
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fit1, fit2 |
An object of class glm |
cutoff |
Cutoff values for risk categories for initial model. Default value is c(0,.1,.35,1) |
cutoff2 |
Optional cutoff values for risk categories for updated model |
A list of class reclassified with elements
Cutoff values for risk categories for initial model
Cutoff values for risk categories for updated model
summary table for absent outcome
summary table for present outcome
summary table for combined outcome
improveProb for categorical variables
improveProb for initial and updated model
Numeric vector for Net reclassification improvement, categorical
Numeric vector for Net reclassification improvement, continuous
Numeric vector for Integrated discrimination improvement
1 2 3 4 5 6 | form1=paste0("AMD~",paste0(colnames(ExampleData)[3:10],collapse="+"))
form2=paste0("AMD~",paste0(colnames(ExampleData)[3:16],collapse="+"))
fit1=glm(as.formula(form1),data=ExampleData,family=binomial)
fit2=glm(as.formula(form2),data=ExampleData,family=binomial)
result=reclassify(fit1,fit2)
result
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