rFBB: Random generator from the flexible beta-binomial distribution

In FlexReg: Regression Models for Bounded Responses

Description

The function randomly generates values from the flexible beta-binomial distribution.

Usage

rFBB(n, size = NULL, mu, theta = NULL, phi = NULL, p, w)

Arguments

n	the number of observations. 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. It is an alternative way to specify the theta parameter. It must be a positive real value.
p	the mixing weight. It must lie in (0, 1).
w	the normalized distance among clusters. It must lie in (0, 1).

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

rFBB(n = 100, size = 40, mu = 0.5, theta = .4, p = 0.3, w = 0.6)
rFBB(n = 100, size = 40, mu = 0.5, phi = 1.5, p = 0.3, w = 0.6)

FlexReg documentation built on Jan. 17, 2022, 5:06 p.m.