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msaeRB
View on CRAN: Click
here
Download and install msaeRB package within the R console
Install from CRAN:
install.packages("msaeRB")
Install from Github:
library("remotes")
install_github("cran/msaeRB") Install by package version:
library("remotes")
install_version("msaeRB", "0.2.1") Attach the package and use:
library("msaeRB")
Maintained by
Zenda Oka Briantiko
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All associated links for this package
First Published: 2021-03-30
Latest Update:
Description:
Implements multivariate ratio benchmarking small area estimation. This package provides ratio benchmarking estimation for univariate and multivariate small area estimation and its MSE. In fact, MSE estimators for ratio benchmark are not readily available, so resampling method that called parametric bootstrap is applied. The ratio benchmark model and parametric bootstrap in this package are based on the model proposed in small area estimation. J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7).
How to cite:
Zenda Oka Briantiko (2021). msaeRB: Ratio Benchmarking for Multivariate Small Area Estimation. R package version 0.2.1, https://cran.r-project.org/web/packages/msaeRB. Accessed 05 Jun. 2026.
Previous versions and publish date:
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Other R packages that msaeRB depends,
imports, suggests or enhances
Functions, R codes and Examples using
the msaeRB R package
Some associated functions: datamsaeRB . datamsaeRBns . est_msaeRB . est_msaeRBns . est_saeRB . est_saeRBns . mse_msaeRB . mse_msaeRBns . mse_saeRB . mse_saeRBns .
Some associated R codes: datamsaeRB.R . datamsaeRBns.R . est_msaeRB.R . est_msaeRBns.R . est_saeRB.R . est_saeRBns.R . mse_msaeRB.R . mse_msaeRBns.R . mse_saeRB.R . mse_saeRBns.R . Full msaeRB package functions and examples
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