Reproducibility for Interval-Censored Data

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Description

This package calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements. ICC is estimated by maximum likelihood from model with one fixed and one random effect (both intercepts). Help in model checking (normality of subjects' means and residuals) is provided.

Details

Package: iRepro
Type: Package
Version: 1.0
Date: 2014-05-07
License: GPL-3

Author(s)

Jelena Kovacic

Maintainer: Jelena Kovacic <jkovacic@imi.hr>

References

Kovacic J, Varnai VM. Reproducibility of grouped data assessed by intraclass correlation coefficient. Accepted for publication in Epidemiology.

Examples

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# Data generation (grouped data)
classes <- 1:6
class.limits <- cbind(classes-0.5,classes+0.5)
r1 <- sample(classes,100,replace=TRUE) # first measurement
r2 <- sample(classes,100,replace=TRUE) # second measurement

summary(intervalICC(r1,r2,predefined.classes=TRUE,classes,class.limits)) # ICC estimation