zapoisUC: Zero-Altered Poisson Distribution

In VGAM: Vector Generalized Linear and Additive Models

Zero-Altered Poisson Distribution

Description

Density, distribution function, quantile function and random generation for the zero-altered Poisson distribution with parameter pobs0.

Usage

dzapois(x, lambda, pobs0 = 0, log = FALSE)
pzapois(q, lambda, pobs0 = 0)
qzapois(p, lambda, pobs0 = 0)
rzapois(n, lambda, pobs0 = 0)

Arguments

x, q	vector of quantiles.
p	vector of probabilities.
n	number of observations. If length(n) > 1 then the length is taken to be the number required.
lambda	Vector of positive means.
pobs0	Probability of zero, called pobs0. The default value of pobs0 = 0 corresponds to the response having a positive Poisson distribution.
log	Logical. Return the logarithm of the answer?

Details

The probability function of Y is 0 with probability pobs0, else a positive Poisson(\lambda).

Value

dzapois gives the density, pzapois gives the distribution function, qzapois gives the quantile function, and rzapois 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

zapoisson, Gaitdpois, dzipois.

Examples

lambda <- 3; pobs0 <- 0.2; x <- (-1):7
(ii <- dzapois(x, lambda, pobs0))
max(abs(cumsum(ii) - pzapois(x, lambda, pobs0)))  # Should be 0
table(rzapois(100, lambda, pobs0))
table(qzapois(runif(100), lambda, pobs0))
round(dzapois(0:10, lambda, pobs0) * 100)  # Should be similar

## Not run:  x <- 0:10
barplot(rbind(dzapois(x, lambda, pobs0), dpois(x, lambda)),
        beside = TRUE, col = c("blue", "green"), las = 1,
        main = paste0("ZAP(", lambda, ", pobs0 = ", pobs0, ") [blue]",
                      "vs Poisson(", lambda, ") [green] densities"),
        names.arg = as.character(x), ylab = "Probability") 
## End(Not run)

VGAM documentation built on May 29, 2024, 6:56 a.m.