| Gaitdbinom | R Documentation |
Density, distribution function, quantile function and random generation for the generally altered, inflated, truncated and deflated binomial distribution. Both parametric and nonparametric variants are supported; these are based on finite mixtures of the parent with itself and the multinomial logit model (MLM) respectively.
dgaitdbinom(x, size.p, prob.p,
a.mix = NULL, a.mlm = NULL,
i.mix = NULL, i.mlm = NULL,
d.mix = NULL, d.mlm = NULL, truncate = NULL,
pobs.mix = 0, pobs.mlm = 0,
pstr.mix = 0, pstr.mlm = 0,
pdip.mix = 0, pdip.mlm = 0, byrow.aid = FALSE,
size.a = size.p, size.i = size.p, size.d = size.p,
prob.a = prob.p, prob.i = prob.p, prob.d = prob.p,
log = FALSE, ...)
pgaitdbinom(q, size.p, prob.p,
a.mix = NULL, a.mlm = NULL,
i.mix = NULL, i.mlm = NULL,
d.mix = NULL, d.mlm = NULL, truncate = NULL,
pobs.mix = 0, pobs.mlm = 0,
pstr.mix = 0, pstr.mlm = 0,
pdip.mix = 0, pdip.mlm = 0, byrow.aid = FALSE,
size.a = size.p, size.i = size.p, size.d = size.p,
prob.a = prob.p, prob.i = prob.p, prob.d = prob.p,
lower.tail = TRUE, ...)
qgaitdbinom(p, size.p, prob.p,
a.mix = NULL, a.mlm = NULL,
i.mix = NULL, i.mlm = NULL,
d.mix = NULL, d.mlm = NULL, truncate = NULL,
pobs.mix = 0, pobs.mlm = 0,
pstr.mix = 0, pstr.mlm = 0,
pdip.mix = 0, pdip.mlm = 0, byrow.aid = FALSE,
size.a = size.p, size.i = size.p, size.d = size.p,
prob.a = prob.p, prob.i = prob.p, prob.d = prob.p, ...)
rgaitdbinom(n, size.p, prob.p,
a.mix = NULL, a.mlm = NULL,
i.mix = NULL, i.mlm = NULL,
d.mix = NULL, d.mlm = NULL, truncate = NULL,
pobs.mix = 0, pobs.mlm = 0,
pstr.mix = 0, pstr.mlm = 0,
pdip.mix = 0, pdip.mlm = 0, byrow.aid = FALSE,
size.a = size.p, size.i = size.p, size.d = size.p,
prob.a = prob.p, prob.i = prob.p, prob.d = prob.p, ...)
x, q, p, n, log, lower.tail |
Same meaning as in |
size.p, prob.p |
Same meaning as in |
size.a, prob.a |
See |
size.i, prob.i |
See |
size.d, prob.d |
See |
truncate |
See |
a.mix, i.mix, d.mix |
See |
a.mlm, i.mlm, d.mlm |
See |
pstr.mix, pstr.mlm, byrow.aid |
See |
pobs.mix, pobs.mlm |
See |
pdip.mix, pdip.mlm |
See |
... |
Arguments such as |
These functions for the GAITD binomial distribution
are analogous to the GAITD Poisson,
hence most details have been put in
Gaitdpois.
dgaitdbinom gives the density,
pgaitdbinom gives the distribution function,
qgaitdbinom gives the quantile function, and
rgaitdbinom generates random deviates.
The default values of the arguments correspond to ordinary
dbinom,
pbinom,
qbinom,
rbinom
respectively.
See Gaitdpois about the dangers
of too much inflation and/or deflation on
GAITD PMFs, and the difficulties detecting such.
Functions Posbinom have been moved
to VGAMdata.
It is better to use
dgaitdbinom(x, size, prob, truncate = 0) instead of
dposbinom(x, size, prob), etc.
T. W. Yee.
Gaitdpois,
Gaitdnbinom,
multinomial,
Gaitdlog,
Gaitdzeta.
size <- 20
ivec <- c(6, 10); avec <- c(8, 11); prob <- 0.25; xgrid <- 0:25
tvec <- 14; pobs.a <- 0.05; pstr.i <- 0.15
dvec <- 5; pdip.mlm <- 0.05
(ddd <- dgaitdbinom(xgrid, size, prob.p = prob,
prob.a = prob + 0.05, truncate = tvec, pobs.mix = pobs.a,
pdip.mlm = pdip.mlm, d.mlm = dvec,
pobs.mlm = pobs.a, a.mlm = avec,
pstr.mix = pstr.i, i.mix = ivec))
## Not run: dgaitdplot(c(size, prob), ylab = "Probability",
xlab = "x", pobs.mix = pobs.mix,
pobs.mlm = pobs.a, a.mlm = avec, all.lwd = 3,
pdip.mlm = pdip.mlm, d.mlm = dvec, fam = "binom",
pstr.mix = pstr.i, i.mix = ivec, deflation = TRUE,
main = "GAITD Combo PMF---Binomial Parent")
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.