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eiCircles

0.0.1-14

Ecological Inference of RxC Tables by Overdispersed-Multinomial Models

0packages depend
3.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jose M. PavíaFirst published 2024-02-174 releasesCRAN page ↗

Estimates RxC (R by C) vote transfer matrices (ecological contingency tables) from aggregate data using the model described in Forcina et al. (2012), as extension of the model proposed in Brown and Payne (1986). Allows incorporation of covariates. References: Brown, P. and Payne, C. (1986). ''Aggregate data, ecological regression and voting transitions''. Journal of the American Statistical Association, 81, 453–460. DOI:10.1080/01621459.1986.10478290. Forcina, A., Gnaldi, M. and Bracalente, B. (2012). ''A revised Brown and Payne model of voting behaviour applied to the 2009 elections in Italy''. Statistical Methods & Applications, 21, 109–119. DOI:10.1007/s10260-011-0184-x. Pavia, J.M, and Forcina, A. (2026). ''Simulating electoral behavior''. Modeling Decisions for Artificial Intelligence, MDAI 2025. Lecture Notes in Computer Science, vol 15957, Torra, V., Narukawa, Y., Domingo-Ferrer, J. (eds), Springer, Cham, pp. 54-65. DOI:10.1007/978-3-032-00891-6_5. Acknowledgements: The authors wish to thank Consellería de Educación, Cultura, Universidades y Empleo, Generalitat Valenciana (grant CIAICO/2023/031) and MICIU/AEI/10.13039/501100011033/FEDER, EU (grant PID2021-128228NB-I00) for supporting this research.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
86%
Return-value docs
100%
References docs
50%

Downloads

3.2K
CRAN downloads in the past year
Rank #9,461 · ~9/day · ~269/mo
Daily download trend is not available in this view yet.
12930 days
99590 days
3.2K1 year
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Also on652 r2u13 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (2)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.1-14Latest
    2026-03-18 · current release · diff ↗
  • 0.0.1-12
    2025-04-11 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.1-7
    2024-03-24 · diff ↗
  • 0.0.1-6
    2024-02-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-02-17
Total releases
4 / 2 yrs
License
GPL (>= 2) OSI
Download size
58 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eiCircles")
Pavía, J. M., & Forcina, A. (2026). eiCircles: Ecological Inference of RxC Tables by Overdispersed-Multinomial Models (Version 0.0.1-14) [Computer software]. https://doi.org/10.32614/CRAN.package.eiCircles

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 eiCircles version 0.0.1-14 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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