sample.omega: Sample omega

In drvalle1/EcoCluster: Bayesian Clustering using Truncated Stick-Breaking priors

Description

This function generates samples of omega (the underlying latent continuous variable)

Usage

sample.omega(y, nspp, nloc, xmat, betas, cs, alpha)

Arguments

y	L x S matrix, containing the presence-absence data
nspp	overall number of species S
nloc	overall number of locations L
xmat	L x P matrix containing the covariates (columns) for each location (rows). Notice that this matrix does not contain a column of 1's for the intercept
betas	P x KS matrix containing slope parameters for each covariate (row) for each group (column)
cs	group assignment for each species
alpha	intercept for each species
n	number of samples to generate

Value

this function returns a L x S matrix containing the underlying latent variables omega

drvalle1/EcoCluster documentation built on Jan. 25, 2022, 12:46 a.m.