README.md

In joiceevangelista/saeHB.gpois: SAE using HB Method under Generalized Poisson Distribution

saeHB.gpois

The package provides function and datasets for area level of Small Area Estimation using Hierarchical Bayesian Method under Generalized Poisson Distribution.

Author

Joice Evangelista Lase, Azka Ubaidillah

Maintaner

Joice Evangelista Lase [e-mail]

Function

• GPois() The function produces small area estimator under Generalized Poisson Model Using Hierarchical Bayesian Method with Generalized Poisson distribution based on GP-1 model introduced by Consul (1989).

Installation

You can install the development version of saeHB.gpois from GitHub with:

# install.packages("devtools")
devtools::install_github("joiceevangelista/saeHB.gpois")

Example

This is a basic example of using GPois() function to make an estimate based on synthetic data in this package

library(saeHB.gpois)
## For data without any non-sampled area
data(dataGPois)       # Load dataset
## For data with non-sampled area use dataHNBNs
## Fitting model
result <- GPois(y ~ x1 + x2, data = dataGPois)
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 50
#>    Unobserved stochastic nodes: 55
#>    Total graph size: 1123
#> 
#> Initializing model
#> 
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 50
#>    Unobserved stochastic nodes: 55
#>    Total graph size: 1123
#> 
#> Initializing model
#> 
#> Compiling model graph
#>    Resolving undeclared variables
#>    Allocating nodes
#> Graph information:
#>    Observed stochastic nodes: 50
#>    Unobserved stochastic nodes: 55
#>    Total graph size: 1123
#> 
#> Initializing model

Small Area mean Estimates

result$Est

Estimated random effect variances

result$refVar

Estimated model coefficient

result$coefficient

References

• Ntzoufras, I. (2009). Bayesian Modelling Using WinBUGS. New Jersey : John Wiley & Sons, Inc.
• Rao, J.N.K & Molina. (2015). Small Area Estimation 2nd Edition. New Jersey: John Wiley and Sons, Inc. .
• Wang, G. (2021). Bayesian regression models for ecological count data in PyMC3. Ecological Informatics, 63, 101301. .

joiceevangelista/saeHB.gpois documentation built on June 15, 2022, 9:56 a.m.