r_gw: Random Generation for Generalized Weibull (GW) Baseline...

In MultiFrailty: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions

Random Generation for Generalized Weibull (GW) Baseline Distribution

Description

Generates random variates from the 3-parameter Generalized Weibull baseline distribution.

Usage

r_gw(n, delta, zeta, xi)

Arguments

n	Number of observations to generate.
delta	Scale parameter (delta > 0).
zeta	Shape parameter (zeta > 0).
xi	Shape parameter (xi > 0).

Value

Numeric vector of length n containing random samples.

References

Mudholkar, G. S., & Srivastava, D. K. (1993). Exponentiated Weibull family for analyzing bathtub failure-rate data. IEEE Transactions on Reliability, 42(2), 299-302.

Examples

set.seed(123)
sim_data <- r_gw(100, delta = 0.5, zeta = 1.2, xi = 1.1)

MultiFrailty documentation built on Aug. 8, 2026, 1:07 a.m.