Generalized Gamma Distribution
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: density,
cumulative distribution, quantiles, log hazard, and random generation.
The generalized gamma distribution has density
f(y) = fy^(f-1)/((m/s)^(fs) Gamma(s)) y^(f(s-1)) exp(-(y s/m)^f)
where m is the scale parameter of the distribution, s is the shape, and f is the family parameter.
f=1 yields a gamma distribution, s=1 a Weibull distribution, and s=infinity a log normal distribution.
dggamma(y, s, m, f, log=FALSE) pggamma(q, s, m, f) qggamma(p, s, m, f) rggamma(n, s, m, f)
y |
vector of responses. |
q |
vector of quantiles. |
p |
vector of probabilities |
n |
number of values to generate |
m |
vector of location parameters. |
s |
vector of dispersion parameters. |
f |
vector of family parameters. |
log |
if TRUE, log probabilities are supplied. |
J.K. Lindsey
dggamma(2, 5, 4, 2) pggamma(2, 5, 4, 2) qggamma(0.75, 5, 4, 2) rggamma(10, 5, 4, 2)
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