Package: saeHB.twofold
Type: Package
Title: Hierarchical Bayes Twofold Subarea Level Model SAE
Version: 0.1.0
Authors@R: c(person(given = "Reyhan",family = "Saadi",role = c("aut","cre"),email = "221810557@stis.ac.id"), person(given = "Azka",family = "Ubaidillah",role = "aut"))
Maintainer: Reyhan Saadi <221810557@stis.ac.id>
Description: We designed this package to provides several functions for
        area and subarea level of small area estimation under Twofold
        Subarea Level Model using hierarchical Bayesian (HB) method
        with Univariate Normal distribution for variables of interest.
        Some dataset simulated by a data generation are also provided.
        The 'rjags' package is employed to obtain parameter estimates
        using Gibbs Sampling algorithm. Model-based estimators involves
        the HB estimators which include the mean, the variation of
        mean, and the quantile. For the reference, see Rao and Molina
        (2015) <doi:10.1002/9781118735855>, Torabi and Rao (2014)
        <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et al.(2007)
        <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>,
        and Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: rjags, coda, stringr, stats, grDevices, graphics, data.table,
        utils
RoxygenNote: 7.1.2
Suggests: saeHB, knitr, rmarkdown
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net)
VignetteBuilder: knitr
URL: https://github.com/reymath99/saeHB.twofold
BugReports: https://github.com/reymath99/saeHB.twofold/issues
Config/pak/sysreqs: jags libicu-dev
Repository: https://reymath99.r-universe.dev
Date/Publication: 2022-04-11 05:21:13 UTC
RemoteUrl: https://github.com/reymath99/saehb.twofold
RemoteRef: HEAD
RemoteSha: d3ac49449a431f312147994c1233f0dbade3086d
NeedsCompilation: no
Packaged: 2026-10-21 09:57:36 UTC; root
Author: Reyhan Saadi [aut, cre],
  Azka Ubaidillah [aut]