rFBB function

Random generator from the flexible beta-binomial distribution

Random generator from the flexible beta-binomial distribution

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

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

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.
  • p: the mixing weight. It must lie in (0, 1).
  • w: the normalized distance among clusters. It must lie in (0, 1).

Returns

A vector of length n.

Examples

rFBB(n = 100, size = 40, mu = .5, theta = .4, p = .3, w = .6) rFBB(n = 100, size = 40, mu = .5, phi = 1.5, p = .3, w = .6)

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

  • Maintainer: Roberto Ascari
  • License: GPL (>= 2)
  • Last published: 2025-04-14

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