ZINB: Zero-inflated Negative Binomial Distribution

In ebalderama/ZimulatE: Simulates Zero-Inflated, Hurdle, and Double-Hurdle Models

Description

Density, distribution function, quantile function and random generation for the zero-inflated negative binomial distribution with parameters theta, size, and mu.

Usage

dzinb(x, theta = 0.5, size = 1, mu = 1, log = FALSE)

pzinb(q, theta = 0.5, size = 1, mu = 1, lower.tail = TRUE, log.p = FALSE)

qzinb(p, theta = 0.5, size = 1, mu = 1, lower.tail = TRUE, log.p = FALSE)

rzinb(n, theta = 0.5, size = 1, mu = 1)

Arguments

x, q	vector of quantiles
theta	zero-inflation parameter (probability of zeros)
size	number of successes (dispersion parameter)
mu	mean parameter (alternative parameterization)
log, log.p	logical; if TRUE, probabilities p are given as log(p).
lower.tail	logical; if TRUE (default), probabilities are P[X %leq x], otherwise, P[X > x].
p	vector of probabilities
n	number of observations

Value

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

ebalderama/ZimulatE documentation built on Dec. 20, 2021, 3:12 a.m.