Small Area Estimation Hierarchical Bayes For Spatial Model

Provides several functions and datasets for area level of Small Area Estimation under Spatial Model using Hierarchical Bayesian (HB) Method. Model-based estimators include the HB estimators based on a Spatial Fay-Herriot model with univariate normal distribution for variable of interest.The 'rjags' package is employed to obtain parameter estimates. For the reference, see Rao and Molina (2015) .


Reference manual

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install.packages("saeHB.spatial")

0.1.1 by Arina Mana Sikana, 2 years ago


https://github.com/arinams/saeHB.spatial


Report a bug at https://github.com/arinams/saeHB.spatial/issues


Browse source code at https://github.com/cran/saeHB.spatial


Authors: Arina Mana Sikana [aut, cre] , Azka Ubaidillah [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports stringr, coda, rjags, stats, grDevices, graphics

Suggests rmarkdown, knitr

System requirements: JAGS (http://mcmc-jags.sourceforge.net)


See at CRAN