rnegbin: Simulate Negative Binomial Variates

In MASS: Support Functions and Datasets for Venables and Ripley's MASS

Simulate Negative Binomial Variates

Description

Function to generate random outcomes from a Negative Binomial distribution, with mean mu and variance mu + mu^2/theta.

Usage

rnegbin(n, mu = n, theta = stop("'theta' must be specified"))

Arguments

n	If a scalar, the number of sample values required. If a vector, length(n) is the number required and n is used as the mean vector if mu is not specified.
mu	The vector of means. Short vectors are recycled.
theta	Vector of values of the theta parameter. Short vectors are recycled.

Details

The function uses the representation of the Negative Binomial distribution as a continuous mixture of Poisson distributions with Gamma distributed means. Unlike rnbinom the index can be arbitrary.

Value

Vector of random Negative Binomial variate values.

Side Effects

Changes .Random.seed in the usual way.

Examples

# Negative Binomials with means fitted(fm) and theta = 4.5
fm <- glm.nb(Days ~ ., data = quine)
dummy <- rnegbin(fitted(fm), theta = 4.5)

MASS documentation built on June 22, 2024, 10:42 a.m.