Skip to content

Multivariate Fay Herriot Models for Small Area Estimation

0packages depend
3.1Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

Implements multivariate Fay-Herriot models for small area estimation. It uses empirical best linear unbiased prediction (EBLUP) estimator. Multivariate models consider the correlation of several target variables and borrow strength from auxiliary variables to improve the effectiveness of a domain sample size. Models which accommodated by this package are univariate model with several target variables (model 0), multivariate model (model 1), autoregressive multivariate model (model 2), and heteroscedastic autoregressive multivariate model (model 3). Functions provide EBLUP estimators and mean squared error (MSE) estimator for each model. These models were developed by Roberto Benavent and Domingo Morales (2015) doi:10.1016/j.csda.2015.07.013.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Novia Permatasari <novia.permatasari@bps.go.id>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Novia",
                      family = "Permatasari",
                      role = c("aut", "cre"),
                      email = "novia.permatasari@bps.go.id"),
               person(given = "Azka",
                      family = "Ubaidillah",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.5
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

3.1K
CRAN downloads in the past year
Rank #17,246 · ~8/day · ~255/mo
Daily download trend is not available in this view yet.
29630 days
73390 days
3.1K1 year
Compare downloads with other packages →
Also on66 r2u6 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)

Installing msae adds 2 packages (0 with compiled code, 197 KB of source tarballs). Heaviest: magic 176 KB, abind 21 KB.

Depends (1)
R >= 2.10
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 0.1.0 (2020)

Releases (6)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.5Latest
    record
    2022-04-24 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.4
    record
    2021-10-01 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.3
    record
    2021-04-12 · diff ↗
  • 0.1.2
    record
    2020-06-05 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.1
    record
    2020-03-28 · diff ↗
  • 0.1.0
    record
    2020-03-20
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-20
Total releases
6 / 6 yrs
License
GPL-2 OSI
Minimum R
≥ 2.10
Bundled data
9.6 KB / 3 files
Download size
21 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("msae")

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 msae version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy