msaeRB: Ratio Benchmarking for Multivariate Small Area Estimation

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).

Version: 0.2.1
Depends: R (≥ 2.10)
Imports: magic, abind, Matrix, MASS, stats
Suggests: covr, knitr, rmarkdown
Published: 2021-06-12
Author: Zenda Oka Briantiko [aut, cre], Azka Ubaidillah [aut]
Maintainer: Zenda Oka Briantiko <221710087 at stis.ac.id>
BugReports: https://github.com/zendaokab/msaeRB/issues
License: GPL-3
URL: https://github.com/zendaokab/msaeRB
NeedsCompilation: no
Materials: README
CRAN checks: msaeRB results

Downloads:

Reference manual: msaeRB.pdf
Vignettes: Vignette_msaeRB
Package source: msaeRB_0.2.1.tar.gz
Windows binaries: r-devel: msaeRB_0.2.1.zip, r-release: msaeRB_0.2.1.zip, r-oldrel: msaeRB_0.2.1.zip
macOS binaries: r-release (arm64): msaeRB_0.2.1.tgz, r-release (x86_64): msaeRB_0.2.1.tgz, r-oldrel: msaeRB_0.2.1.tgz
Old sources: msaeRB archive

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