postlink: Post-Linkage Data Analysis

Provides a suite of statistical tools for post-linkage data analysis (PLDA), designed to account for record linkage errors in downstream modeling. The package implements a familiar, formula-based regression interface that adjusts for linkage uncertainty, accommodating workflows where direct access to unlinked primary files is restricted. It consolidates diverse adjustment methodologies, all of which support generalized linear models (linear, logistic, Poisson, and Gamma). These methodologies include weighting approaches (Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>; Chambers et al. (2023) <doi:10.1002/wics.1596>), mixture modeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>), and Bayesian mixture modeling (Gutman et al. (2016) <doi:10.1002/sim.6586>). For time-to-event data, both the weighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture modeling approaches accommodate Cox proportional hazards models, while the Bayesian approaches extend to parametric survival analysis. Additionally, the package leverages mixture modeling for contingency table analyses and Bayesian methods to enable the multiple imputation of latent match status.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: stats, survival, label.switching, methods, nleqslv, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), rstantools (≥ 2.5.0)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: testthat (≥ 3.0.0)
Published: 2026-04-15
DOI: 10.32614/CRAN.package.postlink (may not be active yet)
Author: Priyanjali Bukke [aut, cre], Gauri Kamat [aut], Jiahao Cui [aut], Roee Gutman [aut], Martin Slawski [aut], Zhenbang Wang [ctb], Brady T. West [ctb], Emanuel Ben-David [ctb], Guoqing Diao [ctb]
Maintainer: Priyanjali Bukke <postlink.group at gmail.com>
BugReports: https://github.com/postlink-group/postlink/issues
License: MIT + file LICENSE
URL: https://postlink-group.github.io/postlink/
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: README, NEWS
CRAN checks: postlink results

Documentation:

Reference manual: postlink.html , postlink.pdf

Downloads:

Package source: postlink_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): postlink_0.1.0.tgz, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=postlink to link to this page.