zinLDA: Zero-Inflated Latent Dirichlet Allocation

In rebeccadeek/zinLDA: Zero-Inflated Latent Dirichlet Allocation

Description

Estimate a zinLDA model using Gibbs Sampling.

Usage

zinLDA(sampleTaxaMatrix, K, alpha, pi, a, b, runs = 500)

Arguments

sampleTaxaMatrix	object of class matrix with integer entries.
K	number of latent subcommunities.
alpha	positive scalar symmetric hyperparameter of the Dirichlet prior on theta.
pi	scalar symmetric zero-inflation probability of the ZIGD prior on beta.
a	positive scalar symmetric hyperparameter of the ZIGD prior on beta.
b	positive scalar symmetric hyperparameter of the ZIGD prior on beta.
runs	length of the MCMC chain.

Value

An object of class "zinLDA_gibbs" containing parameter estimates of theta, beta, and delta from each of the MCMC runs.

rebeccadeek/zinLDA documentation built on Dec. 31, 2020, 3:02 a.m.