zinb.simdata: Generate zero-inflated negative binomial data
In drisso/learn2count: Structure Learning for Count Data

zinb.simdata

R Documentation

Generate zero-inflated negative binomial data

Simulate zinb data based on Karlis (or LPGM)

zinb.simdata(n, p, B, mu, mu.nois, theta, pi)

`n`	number of samples
`p`	number of variables (nodes)
`B`	adjacency matrix
`mu`	mean of negative binomial part
`mu.nois`	mean of noise
`theta`	dispersion parameter of negative binomial part, where `var=\mu+\mu^2/theta`
`pi`	parameter relate to zero part and negative part