HPOIS: Hurdle Model for Poisson Distribution

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

Description

Density, distribution function, quantile function and random generation for the hurdle model using Poisson distribution with parameters theta and lambda.

Usage

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

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

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

Arguments

x, q	vector of quantiles
theta	zero-generating 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].
n	number of observations
p	vector of probabilities

Value

dhpois gives the density, phpois gives the distribution function, qhpois gives the quantile function, and rhpois generates random deviates.

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