ZIP-Distribution: COM-Poisson Distribution

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

COM-Poisson Distribution

Description

Functions for the COM-Poisson distribution.

Usage

dzip(x, lambda, p, log = FALSE)

rzip(n, lambda, p)

pzip(x, lambda, p)

qzip(q, lambda, p, log.p = FALSE)

ezip(lambda, p)

vzip(lambda, p)

Arguments

x	vector of quantiles.
lambda	rate parameter.
p	zero-inflation probability parameter.
log	logical; if TRUE, probabilities are returned on log-scale.
n	number of observations.
q	vector of probabilities.
log.p	logical; if TRUE, probabilities p are given as \log(p).

Value

dzip

density,

pzip

cumulative probability,

qzip

quantiles,

rzip

generate random variates,

ezip

expected value,

vzip

variance,

Author(s)

Kimberly Sellers

COMPoissonReg documentation built on Dec. 2, 2022, 5:07 p.m.