hinvgauss: Log Hazard Function for a Inverse Gauss Process

In event: Event History Procedures and Models

Log Hazard Function for a Inverse Gauss Process

Description

These functions provide information about the inverse Gaussian distribution with mean equal to m and dispersion equal to s: log hazard. (See 'rmutil' for the d/p/q/r boxcox functions density, cumulative distribution, quantiles, and random generation).

The inverse Gaussian distribution has density

f(y) = \frac{1}{\sqrt{2\pi\sigma y^3}} e^{-(y-\mu)^2/(2 y \sigma m^2)}

where \mu is the mean of the distribution and \sigma is the dispersion.

Usage

hinvgauss(y, m, s)

Arguments

y	vector of responses.
m	vector of means.
s	vector of dispersion parameters.

Author(s)

J.K. Lindsey

See Also

dnorm for the normal distribution and dlnorm for the Lognormal distribution.

Examples

hinvgauss(5, 5, 1)

event documentation built on Feb. 16, 2026, 5:08 p.m.