iRepro-package: Reproducibility for Interval-Censored Data

In iRepro: Reproducibility for Interval-Censored Data

Reproducibility for Interval-Censored Data

Description

Calculates intraclass correlation coefficient (ICC) for assessing reproducibility of interval-censored data with two repeated measurements (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). 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:	1.2
Date:	2023-07-13
License:	GPL-3

Author(s)

Jelena Kovacic

Maintainer: Jelena Kovacic <[e-mail]>

References

Kovacic J, Varnai VM. Intraclass correlation coefficient for grouped data. Epidemiology 2014;25(5):769–770.

Examples

# 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

iRepro documentation built on Aug. 8, 2023, 5:13 p.m.