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saeHB.TF.beta

saeHB.TF.beta provides several functions for area and subarea level of small area estimation under Twofold Subarea Level Model using hierarchical Bayesian (HB) method with Beta distribution for variables of interest. Some dataset simulated by a data generation are also provided. The ‘rstan’ package is employed to obtain parameter estimates using STAN.

Function

Installation

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

# install.packages("devtools")
devtools::install.github("Nasyazahira/saeHB.TF.beta")

Example

Here is a basic example of using the betaTF function to make estimates based on sample data in this package

library(saeHB.TF.beta)

#Load Dataset
data(dataBeta) #for dataset with nonsampled subarea use dataBetaNS

#Fitting model
fit <- betaTF(y~X1+X2, area="codearea", weight="w", data=dataBeta)

Extract subarea mean estimation

fit$Est_sub

Extract area mean estimation

fit$Est_area

Extract coefficient estimation \(\beta\)

fit$coefficient

Extract estimation of subarea and area random effect \(u\) and \(v\)

fit$area_randeff
fit$sub_randeff

Extract estimation of subarea and area random effect variance \(\sigma^2_u\) and \(\sigma^2_v\)

fit$refVar

Calculate Relative Standard Error (RSE)

RSE <- (fit$Est_sub$SD)/(fit$Est_sub$Mean)*100
summary(RSE)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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