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pldamixture

0.1.1

Post-Linkage Data Analysis Based on Mixture Modelling

0packages depend
6.1Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Priyanjali BukkeFirst published 2024-03-052 releasesCRAN page ↗GitHub ↗

Perform inference in the secondary analysis setting with linked data potentially containing mismatch errors. Only the linked data file may be accessible and information about the record linkage process may be limited or unavailable. Implements the 'General Framework for Regression with Mismatched Data' developed by Slawski et al. (2023) doi:10.48550/arXiv.2306.00909. The framework uses a mixture model for pairs of linked records whose two components reflect distributions conditional on match status, i.e., correct match or mismatch. Inference is based on composite likelihood and the Expectation-Maximization (EM) algorithm. The package currently supports Cox Proportional Hazards Regression (right-censored data only) and Generalized Linear Regression Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)). Information about the underlying record linkage process can be incorporated into the method if available (e.g., assumed overall mismatch rate, safe matches, predictors of match status, or predicted probabilities of correct matches).

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-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 siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
46%
Return-value docs
100%
References docs
50%

Downloads

6.1K
CRAN downloads in the past year
Rank #7,929 · ~17/day · ~512/mo
Daily download trend is not available in this view yet.
13730 days
1.2K90 days
6.1K1 year
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Also on99 r2u14 autocran

Repository

Repository
3Stars
0Forks
3Open issues
0Open PRs
0Releases
40Commits
1Contributors
40 commits · Last activity 2025-12-24

Stars over time

2024-12-20 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bpriy/pldamixture on 2026-08-09.

Reproducibility and dev environment (1)
renv
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
0 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
statssurvival
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1Latest
    2024-06-07 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0
    2024-03-05
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2024-03-05
Total releases
2 / 2 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
33 KB / 1 file
Download size
53 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("pldamixture")
Bukke, P., Ben-David, E., Diao, G., Slawski, M., Wang, Z., & West, B. T. (2024). pldamixture: Post-Linkage Data Analysis Based on Mixture Modelling (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.pldamixture

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 pldamixture version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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