simPoissonY: Count Data Simulation
In andyhoegh/UncertainOrd: Accounts for Uncertainty in Model-Based Unconstrained Ordination

This function simulates multivariate Poisson count data from a latent factor model.

1 2	simPoissonY(n, p, mu.alpha = 0, sd.alpha = 1, mu.beta = 0, sd.beta = 1)

`n`	- number of sites.
`p`	- number of species
`mu.alpha`	- mean for alpha parameter: default is 0
`sd.alpha`	- sd for alpha parameter: default is 1
`mu.beta`	- mean for beta parameter: default is 0
`sd.beta`	- sd for beta parameter: default is 1

mat - matrix representation of abundance

vec - vectorized representation of abundance

alpha.true - true values of alpha

beta.true - true values of alpha

theta.true - true values of alpha

z.true - true values of alpha

1	simPoissonY(10,10)

andyhoegh/UncertainOrd documentation built on Aug. 9, 2019, 4:33 p.m.

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