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automatedRecLin

1.1.2

Record Linkage Based on an Entropy-Maximizing Classifier

0packages depend
3.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Adam StruzikFirst published 2025-11-185 releasesCRAN page ↗GitHub ↗

The goal of 'automatedRecLin' is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm, Vo et al. (2023) https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html, Sugiyama et al. (2008) doi:10.1007/s10463-008-0197-x.

Install

Health

CRAN checks
13OK
Slowest check: 9.4 min · r-release-macos-x86_64
Code health
Yes
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
10
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-09
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 663 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
100%
Return-value docs
100%
References docs
36%

Downloads

3.1K
CRAN downloads in the past year
Rank #7,279 · ~9/day · ~261/mo
Daily download trend is not available in this view yet.
29930 days
1.2K90 days
3.1K1 year
Compare downloads with other packages →
Also on115 r2u51 autocran

Repository

Repository
2Stars
0Forks
2Open issues
0Open PRs
3Releases
101Commits
1Contributors
entity-resolutionrecord-linkage
101 commits · Last activity 2026-07-13

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/ncn-foreigners/automatedreclin on 2026-08-23.

Continuous integration (1)
GitHub Actions
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

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

  • 1.1.2Latest
    2026-06-29 · current release · diff ↗
  • 1.1.1
    2026-05-21 · diff ↗
  • 1.1.0
    2026-05-08 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.1
    2025-12-13 · diff ↗
  • 1.0.0
    2025-11-18
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-11-18
Total releases
5 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Bundled data
606 KB / 4 files
Download size
683 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("automatedRecLin")
Struzik, A., & Beręsewicz, M. (2026). automatedRecLin: Record Linkage Based on an Entropy-Maximizing Classifier (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.automatedRecLin

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 automatedRecLin version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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