Package: saeHB 0.2.3

Zaza Yuda Perwira

saeHB: Small Area Estimation using Hierarchical Bayesian Method

Provides several functions for area level of small area estimation using hierarchical Bayesian (HB) methods with several univariate distributions for variables of interest. The dataset that is used in every function is generated accordingly in the Example. The 'rjags' package is employed to obtain parameter estimates. Model-based estimators involve the HB estimators which include the mean and the variation of mean. For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

Authors:Zaza Yuda Perwira [aut, cre, cph], Azka Ubaidillah [aut], Ridson Al Farizal P [aut], Ika Yuni Wulansari [aut]

saeHB_0.2.3.tar.gz
saeHB_0.2.3.tar.gz(r-4.7-any)saeHB_0.2.3.tar.gz(r-4.6-any)
saeHB_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
saeHB/json (API)

# Install 'saeHB' in R:
install.packages('saeHB', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zazaperwira/saehb/issues

Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

jagscpp

2.70 score 3 scripts 734 downloads 15 exports 11 dependencies

Last updated from:342a026d84. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK116
source / vignettesOK192
linux-release-x86_64OK131
wasm-releaseOK142

Exports:BetaBetaDeffBinomialExponentialExponentialDoubleGammaLogisticLognormalNegativeBinomialNormalPoissonPoissonGammaStudent_tStudent_tncWeibull

Dependencies:clicodagluelatticelifecyclemagrittrrjagsrlangstringistringrvctrs

saeHB_vignette

Rendered fromsaeHB_vignette.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2021-11-02
Started: 2021-11-02