Zinegbin {VGAM} | R Documentation

## Zero-Inflated Negative Binomial Distribution

### Description

Density, distribution function, quantile function and random generation for the zero-inflated negative binomial distribution with parameter `pstr0`.

### Usage

    dzinegbin(x, size, prob = NULL, munb = NULL, pstr0 = 0, log = FALSE)
    pzinegbin(q, size, prob = NULL, munb = NULL, pstr0 = 0)
    qzinegbin(p, size, prob = NULL, munb = NULL, pstr0 = 0)
    rzinegbin(n, size, prob = NULL, munb = NULL, pstr0 = 0)

### Arguments

`x, q` | vector of quantiles.
`p` | vector of probabilities.
`n` | Same as in `runif`.
`size, prob, munb, log` | Arguments matching `dnbinom`. The argument `munb` corresponds to `mu` in `dnbinom` and has been renamed to emphasize the fact that it is the mean of the negative binomial component.
`pstr0` | Probability of structural zero (i.e., ignoring the negative binomial distribution), called phi.

### Details

The probability function of Y is 0 with probability phi, and a negative binomial distribution with probability 1-phi. Thus

P(Y=0) = phi + (1-phi) * P(W=0)

where W is distributed as a negative binomial distribution (see `rnbinom`.) See `negbinomial`, a VGAM family function, for the formula of the probability density function and other details of the negative binomial distribution.

### Value

`dzinegbin` gives the density, `pzinegbin` gives the distribution function, `qzinegbin` gives the quantile function, and `rzinegbin` generates random deviates.

### Note

The argument `pstr0` is recycled to the required length, and must have values which lie in the interval [0,1].

These functions actually allow for zero-deflation. That is, the resulting probability of a zero count is less than the nominal value of the parent distribution. See `Zipois` for more information.

### Author(s)

T. W. Yee

### See Also

`zinegbinomial`, `rnbinom`, `rzipois`.

### Examples

    munb <- 3; pstr0 <- 0.2; size <- k <- 10; x <- 0:10
    (ii <- dzinegbin(x, pstr0 = pstr0, mu = munb, size = k))
    max(abs(cumsum(ii) - pzinegbin(x, pstr0 = pstr0, mu = munb, size = k)))  # 0
    table(rzinegbin(100, pstr0 = pstr0, mu = munb, size = k))

    table(qzinegbin(runif(1000), pstr0 = pstr0, mu = munb, size = k))
    round(dzinegbin(x, pstr0 = pstr0, mu = munb, size = k) * 1000)  # Should be similar

    ## Not run: barplot(rbind(dzinegbin(x, pstr0 = pstr0, mu = munb, size = k),
                    dnbinom(x, mu = munb, size = k)), las = 1,
            beside = TRUE, col = c("blue", "green"), ylab = "Probability",
            main = paste("ZINB(mu = ", munb, ", k = ", k, ", pstr0 = ", pstr0,
                       ") (blue) vs NB(mu = ", munb,
                       ", size = ", k, ") (green)", sep = ""),
            names.arg = as.character(x))
    ## End(Not run)

[Package VGAM version 1.1-1 Index]