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saeHB.hnb  

Small Area Estimation under Hurdle Negative Binomial Distribution using Hierarchical Bayesian Method
View on CRAN: Click here


Download and install saeHB.hnb package within the R console
Install from CRAN:
install.packages("saeHB.hnb")

Install from Github:
library("remotes")
install_github("cran/saeHB.hnb")

Install by package version:
library("remotes")
install_version("saeHB.hnb", "0.1.2")



Attach the package and use:
library("saeHB.hnb")
Maintained by
Raka Ikmana
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-08
Latest Update: 2023-08-19
Description:
We design this package to provide a function for area level of small area estimation using Hierarchical Bayesian HB method under Hurdle Negative Binomial Distribution. This package provides model using Univariate Hurdle Negative Binomial Distribution for variable of interest. This package also provides a dataset produced by a data generation. The rjags package is employed to obtain parameter estimates. Model-based estimators involves the Hierarchical Bayes estimators which include the mean and the variation of mean. For references see Hilbe 2011 doi10.1017CBO9780511973420 and Rao 2015 doi10.10029781118735855.
How to cite:
Raka Ikmana (2022). saeHB.hnb: Small Area Estimation under Hurdle Negative Binomial Distribution using Hierarchical Bayesian Method. R package version 0.1.2, https://cran.r-project.org/web/packages/saeHB.hnb
Previous versions and publish date:
0.1.0 (2022-03-08 22:10), 0.1.1 (2022-06-09 10:10), 0.1.2 (2022-07-01 10:00)
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Functions, R codes and Examples using the saeHB.hnb R package
Some associated functions: HurdleNB . dataHNB . dataHNBNs . saeHB.hnb . 
Some associated R codes: HurdleNB.R . dataHNB.R . dataHNBNs.R . saeHB.hnb.R .  Full saeHB.hnb package functions and examples
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