Zanegbin: 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.

vector of probabilities.

number of observations. If length(n) > 1 then the length is taken to be the number required.

size, munb, log

Parameters from the ordinary negative binomial distribution (see dnbinom). Some arguments have been renamed slightly.

pobs0

Probability of zero, called \(pobs0\). The default value of pobs0 = 0 corresponds to the response having a positive negative binomial distribution.

Value

dzanegbin gives the density and pzanegbin gives the distribution function, qzanegbin gives the quantile function, and rzanegbin generates random deviates.

Details

The probability function of \(Y\) is 0 with probability pobs0, else a positive negative binomial(\(\mu_{nb}\), size) distribution.

Examples

Run this code

# NOT RUN {
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, las = 1,
        ylab = "Probability", names.arg = as.character(x),
        main = paste("ZANB(munb = ", munb, ", size = ", size,",
                     pobs0 = ", pobs0,
                   ") [blue] vs",  " NB(mu = ", munb, ", size = ", size,
                   ") [green] densities", sep = "")) 
# }