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BayesSAE
View on CRAN: Click
here
Download and install BayesSAE package within the R console
Install from CRAN:
install.packages("BayesSAE")
Install from Github:
library("remotes")
install_github("cran/BayesSAE")
Install by package version:
library("remotes")
install_version("BayesSAE", "1.0-2")
Attach the package and use:
library("BayesSAE")
Maintained by
Chengchun Shi Developer
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-28
Latest Update: 2023-08-19
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.
How to cite:
Chengchun Shi Developer (2013). BayesSAE: Bayesian Analysis of Small Area Estimation. R package version 1.0-2, https://cran.r-project.org/web/packages/BayesSAE
Previous versions and publish date:
Other packages that cited BayesSAE R package
View BayesSAE citation profile
Other R packages that BayesSAE depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BayesSAE R package
Some associated functions: BayesSAE-package . BayesSAE . SAIPE . replication . summary.BayesSAE .
Some associated R codes: BayesFH.R . BayesSAE.R . BayesSFH.R . BayesSYC.R . BayesUFH.R . BayesUYC.R . BayesYC.R . model.compare.R . replication.R . summary.BayesSAE.R . theta.HB.R . theta.HBSFH.R . theta.HBSYC.R . Full BayesSAE package functions and examples
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