rZIzeta: Generate zero inflated zeta random variates

In fitPS: Fit Zeta Distributions to Forensic Data

Generate zero inflated zeta random variates

Description

Generate zero inflated zeta random variates

Usage

rZIzeta(n, pi = 0.5, shape = 1, offset = 0)

rzizeta(n, pi = 0.5, shape = 1, offset = 0)

rzizeta(n, pi = 0.5, shape = 1, offset = 0)

Arguments

n	the number of observations.
pi	the mixing parameter for the zero-inflated zeta model—must be in (0, 1).
shape	the shape parameter for the zero-inflated zeta. Must be greater than zero.
offset	the zeta distribution returns random variates that are greater than, or equal to one. If the offset is greater than 0, then the distribution is anchored on (has minimum value of) 1 - offset.

Details

Technically this function returns values from the one-inflated zeta distribution. However, if offset is greater than zero (and typically we expect it to be 1), then the minimium random variate value is 1 - offset. We chose the name "zero-inflated zeta" as more people are familiar with zero-inflated models.

Value

a vector of random variates from a zero-inflated zeta model

Examples

data(Psurveys)
roux = Psurveys$roux
fit.zi = fitZIDist(roux)
x = rZIzeta(n = sum(roux$data$rn), pi = fit.zi$pi, shape = fit.zi$shape)
table(x)

fitPS documentation built on June 24, 2024, 9:09 a.m.