Description Usage Arguments Value See Also Examples

View source: R/OrdinaryCalibration.R

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

1 | ```
FitCalibNpmle(w, w.res)
``` |

`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 |

The result of NPMLE model fitting for interval-censored data, as obtained by `icenReg::ic_np`

1 2 3 4 5 6 7 8 9 10 | ```
# 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)
``` |

daniel258/CoxBinChange documentation built on Aug. 7, 2018, 4:10 p.m.

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