dnegbin: The negative binomial distribution

In johannabertl/SelectionMix: Negative binomial mixture model

Description

rnegbin.alphabeta simulates data from a negative binomial distribution and dnegbin and dnegbin.alphabeta compute the density.

Usage

dnegbin(k, r, p)

dnegbin.alphabeta(k, alpha, beta)

rnegbin.alphabeta(n, alpha, beta)

Arguments

k	numeric. Vector of observed counts.
r	scalar, positive.
p	scalar, probability.
alpha	scalar, positive.
beta	scalar, positive.
n	scalar, positive. Number of samples.

Details

The functions with alphabeta use the parameterization with alpha and beta, while dnegbin uses the parameterization with r and p.

The functions rgamma and rstats from package stats are used for the simulation of negative binomial data.

dnegbin and dnegbin.alphabeta can handle non-integer counts (without warning), because the binomial coefficient is implemented with a gamma function.

Author(s)

Johanna Bertl

Examples

# see rnegbinmix

johannabertl/SelectionMix documentation built on May 3, 2019, 4:03 p.m.