| Zanegbin {VGAM} | R Documentation |
Zero-Altered Negative Binomial Distribution
Description
Density, distribution function, quantile function and random
generation for the zero-altered negative binomial distribution
with parameter pobs0.
Usage
dzanegbin(x, size, munb, pobs0 = 0, log = FALSE)
pzanegbin(q, size, munb, pobs0 = 0)
qzanegbin(p, size, munb, pobs0 = 0)
rzanegbin(n, size, munb, pobs0 = 0)
Arguments
x, q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations.
If |
size, munb, log |
Parameters from the ordinary negative binomial distribution
(see |
pobs0 |
Probability of zero, called |
Details
The probability function of Y is 0 with
probability pobs0, else a positive negative
binomial(\mu_{nb}, size) distribution.
Value
dzanegbin gives the density and
pzanegbin gives the distribution function,
qzanegbin gives the quantile function, and
rzanegbin generates random deviates.
Note
The argument pobs0 is recycled to the required length,
and must have values which lie in the interval [0,1].
Author(s)
T. W. Yee
See Also
Examples
munb <- 3; size <- 4; pobs0 <- 0.3; x <- (-1):7
dzanegbin(x, munb = munb, size = size, pobs0 = pobs0)
table(rzanegbin(100, munb = munb, size = size, pobs0 = pobs0))
## Not run: x <- 0:10
barplot(rbind(dzanegbin(x, munb = munb, size = size, pobs0 = pobs0),
dnbinom(x, mu = munb, size = size)),
beside = TRUE, col = c("blue", "green"), cex.main = 0.7,
ylab = "Probability", names.arg = as.character(x), las = 1,
main = paste0("ZANB(munb = ", munb, ", size = ", size,",
pobs0 = ", pobs0,
") [blue] vs", " NB(mu = ", munb, ", size = ", size,
") [green] densities"))
## End(Not run)