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saeHB

0.2.3Package record

Small Area Estimation using Hierarchical Bayesian Method

0packages depend
4.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.3
READMEYes · 111 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
16includes a package overview page
Examples that run
0%15 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

4.2K
CRAN downloads in the past year
Rank #11,576 · ~11/day · ~350/mo
Daily download trend is not available in this view yet.
31730 days
92790 days
4.2K1 year
Compare downloads with other packages →
Also on75 r2u3 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2021-11-04 · The default branch showed an older version (0.1.0) than CRAN on 2026-10-18
Responsiveness
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/zazaperwira/saehb on 2026-10-18.

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing saeHB adds 10 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: stringi 11 MB, vctrs 1.0 MB, rlang 766 KB.

Depends (1)
R >= 3.10
Imports (8)
stringrcodarjagsstatsgrDevicesgraphicsclimethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.0 (2021), Copyright holder
Author · added in 0.2.3
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.2.3Latest
    record
    2025-11-26 · current release · diff ↗ ·
    added 1 export
    BetaDeff
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2023-11-08
  • 0.2.2
    record
    2023-11-08 · diff ↗
  • archivedRemoved from CRAN
    2023-08-19
    email to the maintainer is undeliverable
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.2.1
    record
    2022-04-08 · diff ↗
  • 0.2.0
    record
    2022-02-25 · diff ↗ ·
    added 12 exports
    Binomial, Exponential, ExponentialDouble, Gamma, Logistic, Lognormal, NegativeBinomial, Poisson, PoissonGamma, Student_t, Student_tnc, Weibull
  • 0.1.0
    record
    2021-11-02
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-02
Total releases
5 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.10
Download size
28 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("saeHB")
Yuda Perwira, Z., P, R. A. F., Ubaidillah, A., & Yuni Wulansari, I. (2025). saeHB: Small Area Estimation using Hierarchical Bayesian Method (Version 0.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.saeHB

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for saeHB version 0.2.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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