Fits a Weibull calibration model for time-to-exposure from interval-censored data. The exposure is a binary covariate measured in intermittent times.
A matrix of time points when measurements on the binary covariate were obtained.
A matrix of measurement results of the binary covariate. It corresponds to the time points in
The result of NPMLE model fitting for interval-censored data, as obtained by
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# 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) # Calcualte the NPMLE for a nonparametric calibration model for the covariate # starting-time distribution npmle.fit <- ICcalib::FitCalibNpmle(w = sim.data$w, w.res = sim.data$w.res) # Plot the estimated survival function plot(npmle.fit)
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