rBetaBin: Random generator from the beta-binomial distribution

In FlexReg: Regression Models for Bounded Continuous and Discrete Responses

Random generator from the beta-binomial distribution

Description

The function generates random values from the beta-binomial distribution.

Usage

rBetaBin(n, size = NULL, mu = NULL, theta = NULL, phi = NULL)

Arguments

n	the number of values to generate. If length(n) > 1, the length is taken to be the number required.
size	the total number of trials.
mu	the mean parameter. It must lie in (0, 1).
theta	the overdispersion parameter. It must lie in (0, 1).
phi	the precision parameter, an alternative way to specify the overdispersion parameter theta. It must be a real positive value.

Value

A vector of length n.

References

Ascari, R., Migliorati, S. (2021). A new regression model for overdispersed binomial data accounting for outliers and an excess of zeros. Statistics in Medicine, 40(17), 3895–3914. doi:10.1002/sim.9005

Examples

rBetaBin(n = 100, size = 40, mu = .5, theta = .4)
rBetaBin(n = 100, size = 40, mu = .5, phi = 1.5)

FlexReg documentation built on Sept. 29, 2023, 9:06 a.m.