Package: BayesSAE
Type: Package
Title: Bayesian Analysis of Small Area Estimation
Version: 1.0-2
Date: 2018-04-18
Authors@R: c(person("Chengchun Shi", "Developer", role=c("aut", "cre"), email=
	"cshi4@ncsu.edu"))
Description: Provides a variety of methods from Rao (2003, ISBN:0-471-41374-7)
  and some other research articles to deal with several specific small area area-
  level models in Bayesian framework. Models provided range from the basic Fay-Herriot model to 
  its improvement such as You-Chapman models, unmatched models, spatial models and so on. 
  Different types of priors for specific parameters could be chosen to obtain MCMC posterior 
  draws. The main sampling function is written in C with GSL lab so as to facilitate the 
  computation. Model internal checking and model comparison criteria are also involved.
Depends: Formula, coda, lattice
License: GPL-2
Packaged: 2018-04-20 14:43:17 UTC; spring
Author: Chengchun Shi Developer [aut, cre]
Maintainer: Chengchun Shi Developer <cshi4@ncsu.edu>
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2018-04-20 14:49:18 UTC
Built: R 4.0.2; x86_64-apple-darwin17.0; 2020-07-15 08:55:27 UTC; unix
Archs: BayesSAE.so.dSYM
