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msaeDB
View on CRAN: Click
here
Download and install msaeDB package within the R console
Install from CRAN:
install.packages("msaeDB")
Install from Github:
library("remotes")
install_github("cran/msaeDB") Install by package version:
library("remotes")
install_version("msaeDB", "0.2.1") Attach the package and use:
library("msaeDB")
Maintained by
Zaza Yuda Perwira
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-09
Latest Update:
Description:
Implements Benchmarking Method for Multivariate Small Area Estimation under Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a development of Univariate Small Area Estimation that considering the correlation among response variables and borrowing the strength from related areas and auxiliary variables to increase the effectiveness of sample size, the multivariate model in this package is based on multivariate model 1 proposed by Roberto Benavent and Domingo Morales (2016) . Benchmarking in Small Area Estimation is a modification of Small Area Estimation model to guarantee that the aggregate weighted mean of the county predictors equals the corresponding weighted mean of survey estimates. Difference Benchmarking is the simplest benchmarking method but widely used by multiplying empirical best linear unbiased prediction (EBLUP) estimator by the common adjustment factors (J.N.K Rao and Isabel Molina, 2015).
How to cite:
Zaza Yuda Perwira (2021). msaeDB: Difference Benchmarking for Multivariate Small Area Estimation. R package version 0.2.1, https://cran.r-project.org/web/packages/msaeDB. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Other R packages that msaeDB depends,
imports, suggests or enhances
Functions, R codes and Examples using
the msaeDB R package
Some associated functions: datamsaeDB . datamsaeDBns . msaedb . msaedbns . msaefh . msaefhns . saedb . saedbns . saefh . saefhns .
Some associated R codes: datamsaeDB.R . datamsaeDBns.R . msaeDB-Package.R . msaedb.R . msaedbns.R . msaefh.R . msaefhns.R . saedb.R . saedbns.R . saefh.R . saefhns.R . Full msaeDB package functions and examples
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