
genbetaII(lshape1.a = "loge", lscale = "loge", lshape2.p = "loge", lshape3.q = "loge",
ishape1.a = NULL, iscale = NULL, ishape2.p = 1, ishape3.q = 1,
zero = NULL)
a
,
scale parameter scale
,
shape parameter p
, and
shape parameter q
.
All four parameters are positive.
See
a
and scale
.
A NULL
means a value is computed internally.p
and q
.a
, scale
, p
, q
, respectivel"vglmff"
(see vglmff-class
).
The object is used by modelling functions such as vglm
,
and vgam
.
The 4-parameter generalized beta II distribution has density
scale
,
while the others are shape parameters.
The mean is
Brazauskas, V. (2002) Fisher information matrix for the Feller-Pareto distribution. Statistics & Probability Letters, 59, 159--167.
betaff
,
betaII
,
dagum
,
sinmad
,
fisk
,
lomax
,
invlomax
,
paralogistic
,
invparalogistic
,
lino
.gdata <- data.frame(y = rsinmad(3000, exp(2), exp(2), exp(1))) # A special case!
fit <- vglm(y ~ 1, genbetaII, gdata, trace = TRUE)
fit <- vglm(y ~ 1, data = gdata, trace = TRUE,
genbetaII(ishape1.a = 4, ishape2.p = 2.2, iscale = 7, ishape3.q = 2.3))
coef(fit, matrix = TRUE)
Coef(fit)
summary(fit)
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