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saebenchmarking needs sae, which CRAN will archive unless its check problems are fixed by Nov 2.

saebenchmarking

0.1.0Package record

Benchmarking Small Area Estimates and Their Mean Squared Errors

0packages depend
434downloads / year
84.6%test coverage
13/13flavors OK

Overview

About

Adjusts model-based small area estimates so that their weighted aggregate agrees with the weighted aggregate of the direct estimates, using the difference, ratio, and optimum benchmarking methods described in Rao and Molina (2015, ISBN:978-1-118-73578-7) and Wang, Fuller and Qu (2008). The mean squared error (MSE) of the benchmarked empirical best linear unbiased predictor (EBLUP) under the Fay-Herriot model is estimated with the second-order approximation or the parametric bootstrap of Steorts and Ghosh (2013) doi:10.5705/ss.2012.053. The posterior MSE of the benchmarked hierarchical Bayes (HB) estimator follows Datta, Ghosh, Steorts and Maples (2011) doi:10.1007/s11749-010-0218-y.

Changes in 0.1.0
  • Initial CRAN submission.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-release-macos-x86_64
Status changes
  • OK13 OKNow
  • OK3 OK2026-09-28
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 178 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
5 (1 internal)includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
40%

Downloads

434
CRAN downloads in the past year
Rank #25,072 · ~1/day · ~36/mo
Daily download trend is not available in this view yet.
43430 days
43490 days
4341 year
Compare downloads with other packages →
Also on5 r2u2 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-10-17
Responsiveness
not measured
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/fionaaudia/saebenchmarking on 2026-10-25.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing saebenchmarking adds 10 packages (6 with compiled code, 13 MB of source tarballs). Heaviest: lme4 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.5
Imports (3)
LinkingTo (0)
none
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

  • saefix by Nov 2
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2026), Copyright holder
Releases (1)
  • 0.1.0Latest
    2026-09-28 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-28
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5
Bundled data
6.6 KB / 2 files
Download size
31 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("saebenchmarking")
Sihombing, F. A. N., & Ubaidillah, A. (2026). saebenchmarking: Benchmarking Small Area Estimates and Their Mean Squared Errors (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.saebenchmarking

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 saebenchmarking version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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