ZIP: Zero-inflated Poisson 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 Poisson distribution with parameters theta and lambda.

Usage

dzip(x, theta = 0.5, lambda = 1, log = FALSE)

pzip(q, theta = 0.5, lambda = 1, lower.tail = TRUE, log.p = FALSE)

qzip(p, theta = 0.5, lambda = 1, lower.tail = TRUE, log.p = FALSE)

rzip(n, theta = 0.5, lambda = 1)

Arguments

x, q	vector of quantiles
theta	zero-inflation parameter (probability of zeros)
lambda	expected Poisson count
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

dzip gives the density, pzip gives the distribution function, qzip gives the quantile function, and rzip generates random deviates.

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