rVIB: Random generation from the variance-inflated beta...

In FlexReg: Regression Models for Bounded Continuous and Discrete Responses

Random generation from the variance-inflated beta distribution

Description

The function generates random values from the variance-inflated beta distribution, or from the augmented variance-inflated beta distribution.

Usage

rVIB(n, mu, phi, p, k, q0 = NULL, q1 = NULL)

Arguments

n	the number of values to generate. If length(n) > 1, the length is taken to be the number required.
mu	the mean parameter. It must lie in (0, 1).
phi	the precision parameter. It must be a real positive value.
p	the mixing weight. It must lie in (0, 1).
k	the extent of the variance inflation. It must lie in (0, 1).
q0	the probability of augmentation in zero. It must lie in (0, 1). In case of no augmentation, it is NULL (default).
q1	the probability of augmentation in one. It must lie in (0, 1). In case of no augmentation, it is NULL (default).

Value

A vector of length n.

References

Di Brisco, A. M., Migliorati, S., Ongaro, A. (2020). Robustness against outliers: A new variance inflated regression model for proportions. Statistical Modelling, 20(3), 274–309. doi:10.1177/1471082X18821213

Examples

rVIB(n = 100, mu = .5, phi = 30, p = .3, k = .6)
rVIB(n = 100, mu = .5, phi = 30, p = .3, k = .6, q0 = .2, q1 = .1)

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