r_gl1: Random Generation for Generalized Lindley Type 1 (GL1)...

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

Random Generation for Generalized Lindley Type 1 (GL1) Frailty Distribution

Description

Generates random variates from GL Type 1 frailty distribution (two-component Gamma mixture).

Usage

r_gl1(n, eta, epsilon)

Arguments

n	Number of observations to generate.
eta	Parameter eta > 0.
epsilon	Parameter epsilon > 0.

Value

Numeric vector of length n.

References

Pandey, A., Hanagal, D. D., & Tyagi, S. (2022). Shared Frailty Models Based on Cancer Data. International Journal of Statistics and Reliability Engineering, 9(3), 461-474.

Examples

set.seed(123)
w_gl1 <- r_gl1(100, eta = 1.2, epsilon = 0.5)

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