reclassify: Function for reclassification table and statistics

Description Usage Arguments Value Examples

Description

Function for reclassification table and statistics

Usage

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reclassify(fit1, fit2, cutoff, cutoff2)

Arguments

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

Value

A list of class reclassified with elements

cutoff

Cutoff values for risk categories for initial model

cutoff2

Cutoff values for risk categories for updated model

absent

summary table for absent outcome

present

summary table for present outcome

combined

summary table for combined outcome

x

improveProb for categorical variables

y

improveProb for initial and updated model

NRIcat

Numeric vector for Net reclassification improvement, categorical

NRIcont

Numeric vector for Net reclassification improvement, continuous

IDI

Numeric vector for Integrated discrimination improvement

Examples

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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

cardiomoon/webr2 documentation built on April 24, 2020, 9:44 p.m.