Generalized Weibull Distribution
These functions provide information about the generalized Weibull
distribution, also called the exponentiated Weibull, 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 Weibull distribution has density
f(y) = s f y^(s-1) (1-exp(-(y/m)^s))^(f-1) exp(-(y/m)^s)/m^s
where m is the scale parameter of the distribution, s is the shape, and f is the family parameter.
f=1 gives a Weibull distribution, for s=1, f<0 a generalized F distribution, and for s>0, f<=0 a Burr type XII distribution.
dgweibull(y, s, m, f, log=FALSE) pgweibull(q, s, m, f) qgweibull(p, s, m, f) rgweibull(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
dgweibull(5, 1, 3, 2) pgweibull(5, 1, 3, 2) qgweibull(0.65, 1, 3, 2) rgweibull(10, 1, 3, 2)
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