FitCalibWeibullRS: Fitting Weibull Risk-Set Calibration Models
In daniel258/ICcalib: Cox Model with Interval-Censored Starting Time of a Covariate

Description Usage Arguments Details Value See Also Examples

Fits Weibull risk-set calibration models for time-to-exposure from interval-censored data. The exposure is a binary covariate measured in intermittent times. This function fits a calibration model at each main event time point, using only members of the risk set at that time point.

1	FitCalibWeibullRS(w, w.res, tm, event, lower = 1e-04, upper = 200)

`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. Each measurement corresponds to the time points in `w`
`tm`	Vector of observed main event time or censoring time.
`event`	Vector of censoring indicators. `1` for event `0` for censored
`lower`	A value to replace zero in the left point of the interval, Default: 1e-04
`upper`	A value to replace infinity in the right point of the interval, Default: 200

In case of an error in the model-fitting at a certain time point, a Weibull calibration model is fitted and used for that time point.

A 2-column matrix with the shape and scale parameter for each time-point at which a calibration model was fitted.

fitdistcens, FitCalibWeibull

# 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 Weibull risk-set calibration models for the conditional covariate 
# starting-time distributions
ICcalib::FitCalibWeibullRS(w = sim.data$w, w.res = sim.data$w.res, 
                           tm = sim.data$obs.tm, event = sim.data$delta)