Calculate the posterior estimates of delta, beta, and theta for a fitted zinLDA model.

posterior(obj, burnin = 100)

Arguments

obj

object of class "zinLDA_gibbs".

burnin

number of burn-in runs of the MCMC.

Value

A list with the following elements:

delta

posterior indicator of structural zeros.

beta

posterior probabilities of each taxon belonging to each subcommunity.

theta

posterior probabilities of each subcommunity in each sample.