ZICMP-Distribution: ZICMP Distribution

In COMPoissonReg: Conway-Maxwell Poisson (COM-Poisson) Regression

ZICMP Distribution

Description

Computes the density, cumulative probability, quantiles, and random draws for the zero-inflated COM-Poisson distribution.

Usage

dzicmp(x, lambda, nu, p, log = FALSE, control = NULL)

rzicmp(n, lambda, nu, p, control = NULL)

pzicmp(x, lambda, nu, p, control = NULL)

qzicmp(q, lambda, nu, p, log.p = FALSE, control = NULL)

ezicmp(lambda, nu, p, control = NULL)

vzicmp(lambda, nu, p, control = NULL)

Arguments

x	vector of quantiles.
lambda	rate parameter.
nu	dispersion parameter.
p	zero-inflation probability parameter.
log	logical; if TRUE, probabilities are returned on log-scale.
control	a COMPoissonReg.control object from get.control or NULL to use global default.
n	number of observations.
q	vector of probabilities.
log.p	logical; if TRUE, probabilities p are given as \log(p).

Value

dzicmp

density,

pzicmp

cumulative probability,

qzicmp

quantiles,

rzicmp

generate random variates,

ezicmp

expected value. and

vzicmp

variance.

Author(s)

Kimberly Sellers, Andrew Raim

References

Kimberly F. Sellers and Andrew M. Raim (2016). A Flexible Zero-Inflated Model to Address Data Dispersion. Computational Statistics and Data Analysis, 99, 68-80.

COMPoissonReg documentation built on May 29, 2024, 8:17 a.m.