rnegbin
From MASS v7.3-53
by Brian Ripley
Simulate Negative Binomial Variates
Function to generate random outcomes from a Negative Binomial distribution,
with mean mu
and variance mu + mu^2/theta
.
- Keywords
- distribution
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 andn
is used as the mean vector ifmu
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
# NOT RUN {
# Negative Binomials with means fitted(fm) and theta = 4.5
fm <- glm.nb(Days ~ ., data = quine)
dummy <- rnegbin(fitted(fm), theta = 4.5)
# }
Community examples
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