CRAN/E | saebnocov

saebnocov

Small Area Estimation using Empirical Bayes without Auxiliary Variable

Installation

About

Estimates the parameter of small area in binary data without auxiliary variable using Empirical Bayes technique, mainly from Rao and Molina (2015,ISBN:9781118735787) with book entitled "Small Area Estimation Second Edition". This package provides another option of direct estimation using weight. This package also features alpha and beta parameter estimation on calculating process of small area. Those methods are Newton-Raphson and Moment which based on Wilcox (1979) doi:10.1177/001316447903900302 and Kleinman (1973) doi:10.1080/01621459.1973.10481332.

Key Metrics

Version 0.1.0
R ≥ 3.5.0
Published 2022-09-05 607 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks saebnocov results

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Maintainer

Maintainer

Siti Rafika Fiandasari

fikafianda@gmail.com

Authors

Siti Rafika Fiandasari

aut / cre

Margaretha Ari Anggorowati

aut

Bahrul Ilmi Nasution

aut

Material

Reference manual
Package source

Vignettes

Best_Vignete_ever
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macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Depends

R ≥ 3.5.0

Imports

descr
dplyr
rlang
stats

Suggests

knitr
rmarkdown