FitCalibWeibull: Fitting Weibull Calibration Models

In daniel258/CoxBinChange: Cox Model with Interval-Censored Starting Time of a Covariate

Description

Fits a Weibull calibration model for time-to-exposure from interval-censored data. The exposure is a binary covariate measured in intermittent times.

Usage

FitCalibWeibull(w, w.res)

Arguments

w	A matrix of time points when measurements on the binary covariate were obtained.
w.res	A matrix of measurement results of the binary covariate. It corresponds to the time points in w

Value

A bivariate vector: the estimated Weibull shape and scale parameters

See Also

fitdistcens

Examples

# Simulate data set
sim.data <- ICcalib:::SimCoxIntervalCensSingle(n.sample = 200, lambda = 0.1, 
                                               alpha = 0.25, beta0 = log(0.5), 
                                               mu = 0.2, n.points = 2, 
                                               weib.shape = 1, weib.scale = 2)
# Fit a Weibull calibration model for the covariate starting time distribution
ICcalib::FitCalibWeibull(w = sim.data$w, w.res = sim.data$w.res) 

daniel258/CoxBinChange documentation built on May 14, 2019, 3:42 p.m.