BayesMVFH: Multivariate Fay-Herriot Model interfacing with Stan

In ssoro411/bayesae: Hierarchical Bayes Spatial Models for Small Area Estimation

Description

Bayesian approach to s-variate Fay-Herriot models using stan.

Arguments

direct	m by s matrix with direct estimate.
aux	Array of auxiliary variable with dim=c(m,s,p).
Di	m by s matrix with sampling variance.
domain	m vector with domain names.
pars	Parameters to be monitored.
iter	Total iteration.
warmup	Warm up. Default is floor(iter/2).
chains	Number of chains. Default is 4.
control	See the rstan package document.
open.progress	Progress of chiain will be presented if it is TRUE.

Value

Simulated posterior sample from the rstan.

References

\insertRef

carpenter2016stanbayesae

\insertRef

guo2016rstanbayesae

\insertRef

vehtari2014waicbayesae

ssoro411/bayesae documentation built on Dec. 4, 2019, 3:03 p.m.