NPMLE: NPMLE for time-to-event data

In OnofriAndreaPG/drcte: Statistical Approaches for Time-to-Event Data in Agriculture

NPMLE for time-to-event data

Description

This function provides the non-parametric maximum likelihood estimator for time-to-event data for the distribution function for interval‐grouped data.

Usage

NPMLE()

Arguments

This function has no arguments

Details

The function 'KDE()' provides the NPMLE for the cumulative distribution function of time-to-event data. It uses the algorithms proposed in the 'interval' package (Fay and Shaw, 2010)

Value

The 'KDE()' function returns a list containing the nonlinear function and other facilities, which are internally used by the 'drmte()' function.

Author(s)

Andrea Onofri. Codes for the estimation have been largely taken from the 'interval' package (Fay and Shaw, 2010).

References

Michael P. Fay, Pamela A. Shaw (2010). Exact and Asymptotic Weighted Logrank Tests for Interval Censored Data: The interval R Package. Journal of Statistical Software, 36(2), 1-34. URL https://www.jstatsoft.org/v36/i02/.

Examples

data(chickweed)
mod <- drmte(count ~ start + end, data=chickweed,
              fct = NPMLE())
summary(mod)
plot(mod, ylim = c(0, 0.25), log = "")

OnofriAndreaPG/drcte documentation built on April 14, 2025, 10:44 a.m.