| hggamma {event} | R Documentation |
Log Hazard Function for a Generalized Gamma Process
Description
These functions provide information about the generalized gamma
distribution with scale parameter equal to m, shape equal
to s, and family parameter equal to f: log hazard.
(See 'rmutil' for the d/p/q/r boxcox functions density,
cumulative distribution, quantiles, and random generation).
The generalized gamma distribution has density
f(y) = \frac{\nu y^{\nu-1}}
{(\mu/\sigma)^{\nu\sigma} Gamma(\sigma)} y^{\nu(\sigma-1)}
\exp(-(y \sigma/\mu)^\nu)
where \mu is the scale parameter of the distribution,
\sigma is the shape, and \nu is the family
parameter.
\nu=1 yields a gamma distribution, \sigma=1 a
Weibull distribution, and \sigma=\infty a
log normal distribution.
Usage
hggamma(y, s, m, f)
Arguments
y |
vector of responses. |
m |
vector of location parameters. |
s |
vector of dispersion parameters. |
f |
vector of family parameters. |
Author(s)
J.K. Lindsey
See Also
dgamma for the gamma distribution,
dweibull for the Weibull distribution, dlnorm
for the log normal distribution.
Examples
hggamma(2, 5, 4, 2)