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frailtyROC (version 1.0.0)

Time-Dependent ROC Curve Estimation for Correlated Right-Censored Survival Data

Description

This contains functions that can be used to estimate a smoothed and a non-smoothed (empirical) time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve for correlated right-censored time-to-event data. See Beyene and Chen (2024) .

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Version

Install

install.packages('frailtyROC')

Monthly Downloads

135

Version

1.0.0

License

GPL (>= 2)

Maintainer

Kassu Mehari Beyene

Last Published

October 14th, 2025

Functions in frailtyROC (1.0.0)

frailtyROC-package

frailtyROC
wbw

Function to select the bandwidth parameter needed for smoothing the time-dependent ROC curve.
kfunc

Function to evaluate the matrix of data vector minus the grid points divided by the bandwidth value.
kfunction

Kernel distribution function
wquantile

Function for Weighted quartile estimation
wvar

Function for Weighted variance estimation
ker_dis_i

Distribution function without the ith observation
kidney

Kidney Marker Data
muro

The value of squared integral x^2 k(x) dx and integral x k(x) K(x) dx
wIQR

Function for Weighted inter-quartile range estimation
Csurv

Survival probability conditional to the observed data estimation for correlated right censored data.
frailtyROC

Estimation of the time-dependent ROC curve for correlated right-censored survival data
RocFun

ROC estimation function
NR

The normal reference bandwidth selection for weighted data
PI

The plug-in bandwidth selection for weighted data
CV

The cross-validation bandwidth selection for weighted data
dnorkernel

Derivative of normal distribution
integ

Numerical Integral function using Simpson's rule
LungCancer

NCCTG Lung Cancer Marker Data