# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "postlink" in publications use:' type: software license: MIT title: 'postlink: Post-Linkage Data Analysis' version: 0.1.0.9000 doi: 10.32614/CRAN.package.postlink abstract: 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) ; Chambers et al. (2023) ), mixture modeling (Slawski et al. (2025) ), and Bayesian mixture modeling (Gutman et al. (2016) ). For time-to-event data, both the weighting (Vo et al. (2024) ) 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. authors: - family-names: Bukke given-names: Priyanjali email: postlink.group@gmail.com - family-names: Kamat given-names: Gauri - family-names: Cui given-names: Jiahao - family-names: Gutman given-names: Roee - family-names: Slawski given-names: Martin repository: https://postlink-group.r-universe.dev repository-code: https://github.com/postlink-group/postlink commit: 8f7643a8b5185dfbdb99ba5f7feda090bb250f6a url: https://postlink-group.github.io/postlink/ date-released: '2026-05-13' contact: - family-names: Bukke given-names: Priyanjali email: postlink.group@gmail.com