True.mu: Function to calculate the true value of the mean frequency...

In gsMeanFreq: Group Sequential Clinical Trial Designs for Composite Endpoints

Function to calculate the true value of the mean frequency function.

Description

Computes the theoretical mean frequency function for the composite endpoint under the assumed data-generating mechanisim. The calculation uses the parameters stored in the simulated data.

Usage

True.mu(data, t)

Arguments

data	A data frame generated by Onesample.generate.sequential() (optionally after applying Apply.calendar.censoring()) containing composite endpoint data in long format. Each subject may contribute multiple rows corresponding to recurrent events, terminal event, or censoring.
t	A numeric vector specifying event times (time since enrollment) at which the true value of the mean frequency is evaluated.

Value

A numeric vector giving the true mean frequency evaluated at t.

References

Mao L, Lin DY. Semiparametric regression for the weighted composite endpoint of recurrent and terminal events. Biostatistics. 2016 Apr; 17(2) :390-403.

Examples

df <- Onesample.generate.sequential(size = 200, recruitment = 3, calendar = 5,
random.censor.rate = 0.05, seed = 1123)
True.mu(data = df, t = c(1.5, 2.9, 4.6))

gsMeanFreq documentation built on Feb. 17, 2026, 1:07 a.m.