calc_ll_pg_stlm_loo: Leave-one-out log-likelihood for pg_stlm() model for use in...
In jtipton25/pgR: Bayesian Polya-Gamma Regression

calc_ll_pg_stlm_loo

R Documentation

Leave-one-out log-likelihood for pg_stlm() model for use in model selection

Description

this function generates the log-likelihood for data fit using the pg_splm() function. The log-likelihood can be used for model selection and evaluation.

Usage

calc_ll_pg_stlm_loo(Y, X, locs, out, n_message = 50)

Arguments

`Y`	is a N x J x T array of compositional count data.
`X`	is a n_sites x p matrix of climate variables.
`locs`	is a N x 2 matrix of observation locations
`out`	is a list of MCMC outputs from `pg_stlm()`, `pg_stlm_overdispersed`, or `pg_stlm_latent_overdispersed`
`n_message`	A positive integer number of frequency of iterations to output a progress message. For example, `n_message = 50` outputs progress messages every 50 iterations.