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.
hggamma(y, s, m, f)vector of responses.
vector of location parameters.
vector of dispersion parameters.
vector of family parameters.
J.K. Lindsey