VGAM (version 1.1-6)

meangaitd: Mean of the GAITD Combo Density

Description

Returns the mean of a 1- or 2-parameter GAITD combo probability mass function.

Usage

meangaitd(theta.p, fam = c("pois", "log", "zeta"),
    a.mix = NULL, i.mix = NULL, d.mix = NULL,
    a.mlm = NULL, i.mlm = NULL, d.mlm = NULL,
    truncate = NULL, max.support = Inf,
    pobs.mix = 0, pobs.mlm = 0,
    pstr.mix = 0, pstr.mlm = 0,
    pdip.mix = 0, pdip.mlm = 0, byrow.aid = FALSE,
    theta.a = theta.p, theta.i = theta.p, theta.d = theta.p, ...)

Arguments

theta.p

Same as dgaitdplot; usually of length 1 but may be of length 2.

fam

Same as dgaitdplot. The default is the first one. All other choices are listed in that vector.

a.mix, i.mix, a.mlm, i.mlm

Same as dgaitdplot.

d.mix, d.mlm

Same as dgaitdplot.

truncate, max.support

Same as dgaitdplot.

pobs.mix, pobs.mlm, byrow.aid

Same as dgaitdplot.

pstr.mix, pstr.mlm, pdip.mix, pdip.mlm

Same as dgaitdplot.

theta.a, theta.i, theta.d

Same as dgaitdplot.

Currently unused.

Value

The mean.

Details

This function returns the mean of the PMF of the GAITD combo model. Many of its arguments are the same as dgaitdplot. More functionality may be added in the future, such as returning the variance.

See Also

dgaitdplot, Gaitdpois, gaitdpoisson.

Examples

Run this code
# NOT RUN {
i.mix <- seq(0, 15, by = 5)
lambda.p <- 10
meangaitd(lambda.p, a.mix = i.mix + 1, i.mix = i.mix,
          max.support = 17, pobs.mix = 0.1, pstr.mix = 0.1)
# }

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