r_ig: Random Generation for Inverse Gaussian (IG) Frailty...
In MultiFrailty: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions
r_ig R Documentation
Random Generation for Inverse Gaussian (IG) Frailty Distribution
Description
Generates random variates from the Inverse Gaussian frailty distribution with mean E[W] = 1.
Usage
r_ig(n, eta)
Arguments
n
Number of observations to generate.
eta
Frailty variance parameter (eta > 0).
Value
Numeric vector of length n.
References
Hougaard, P. (1984). Life table methods for heterogeneous populations: distributions of frailties. Biometrika, 71(1), 75-83.
Examples
set.seed(123)
w_ig <- r_ig(100, eta = 0.5)
MultiFrailty documentation built on Aug. 8, 2026, 1:07 a.m.
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| r_ig | R Documentation |
Random Generation for Inverse Gaussian (IG) Frailty Distribution
Description
Generates random variates from the Inverse Gaussian frailty distribution with mean E[W] = 1.
Usage
r_ig(n, eta)
Arguments
n |
Number of observations to generate. |
eta |
Frailty variance parameter (eta > 0). |
Value
Numeric vector of length n.
References
Hougaard, P. (1984). Life table methods for heterogeneous populations: distributions of frailties. Biometrika, 71(1), 75-83.
Examples
set.seed(123)
w_ig <- r_ig(100, eta = 0.5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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