hinvgauss {event}

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)