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cenROC (version 2.0.0)

Estimating Time-Dependent ROC Curve and AUC for Censored Data

Description

Contains functions 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 and the optimal cutoff point for the right and interval censored survival data. See Beyene and El Ghouch (2020) and Beyene and El Ghouch (2022) .

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Version

Install

install.packages('cenROC')

Monthly Downloads

228

Version

2.0.0

License

GPL (>= 2)

Maintainer

Kassu Mehari Beyene

Last Published

March 27th, 2023

Functions in cenROC (2.0.0)

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

Weighted quartile estimation

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

Numerical Integral function using Simpson's rule

Kernel distribution function

Distribution function without the ith observation

NASA Hypobaric Decompression Sickness Marker Data

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

Mayo Marker Data

Weighted variance estimation

Weighted inter-quartile range estimation

Computes optimal cutoff point using the Youden index criteria

Time-dependent ROC curve estimation for interval-censored survival data

The cross-validation bandwidth selection for weighted data

Derivative of normal distribution

The normal reference bandwidth selection for weighted data

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

The plug-in bandwidth selection for weighted data

ROC estimation function

Compute the conditional survival function for Interval Censored Survival Data

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

Survival probability conditional on the observed data estimation for interval censored data