ZIM: dpqr-zinb – R documentation

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dpqr-zinb

The Zero-Inflated Negative Binomial Distribution

Description

Density, distribution function, quantile function and random generation for the zero-inflated negative binomial (ZINB) distribution with parameters k, lambda, and omega.

Usage

dzinb(x, k, lambda, omega, log = FALSE)
pzinb(q, k, lambda, omega, lower.tail = TRUE, log.p = FALSE)
qzinb(p, k, lambda, omega, lower.tail = TRUE, log.p = FALSE)
rzinb(n, k, lambda, omega)

Arguments

`x, q`	vector of quantiles.
`p`	vector of probabilities.
`n`	number of random values to return.
`k`	dispersion parameter.
`lambda`	vector of (non-negative) means.
`omega`	zero-inflation parameter.
`log, log.p`	logical; if TRUE, probabilities `p` are given as `log(p)`.
`lower.tail`	logical; if TRUE (default), probabilities are `P[X <= x]`, otherwise, `P[X > x]`.

Value

dzinb gives the density, pzinb gives the distribution function, qzinb gives the quantile function, and rzinb generates random deviates.

Examples

dzinb(x = 0:10, k = 1, lambda = 1, omega = 0.5)
pzinb(q = c(1, 5, 9), k = 1, lambda = 1, omega = 0.5)
qzinb(p = c(0.25, 0.50, 0.75), k = 1, lambda = 1, omega = 0.5)
set.seed(123)
rzinb(n = 100, k = 1, lambda = 1, omega = 0.5)

ZIM

Zero-Inflated Models (ZIM) for Count Time Series with Excess Zeros

v1.1.0

GPL-3

Authors

Ming Yang [aut, cre], Gideon Zamba [aut], Joseph Cavanaugh [aut]

Initial release