Package: postlink
Type: Package
Title: Post-Linkage Data Analysis
Version: 0.1.2
Depends: R (>= 3.5.0)
Authors@R: 
    c(
    person("Priyanjali", "Bukke", email = "postlink.group@gmail.com", role = c("aut", "cre")),
    person("Gauri", "Kamat", role = "aut"),
    person("Jiahao", "Cui", role = "aut"),
    person("Roee", "Gutman", role = "aut"),
    person("Martin", "Slawski", role = "aut"),
    person("Zhenbang", "Wang", role = "ctb"),
    person("Brady T.", "West", role = "ctb"),
    person("Emanuel", "Ben-David", role = "ctb"),
    person("Guoqing", "Diao", role = "ctb")
    )
Imports: stats, survival, label.switching, methods, nleqslv, Rcpp (>=
        0.12.0), RcppParallel (>= 5.0.1), rstan (>= 2.26.0), rstantools
        (>= 2.5.0)
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Config/testthat/edition: 3
BugReports: https://github.com/postlink-group/postlink/issues
Biarch: true
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.26.0), StanHeaders (>=
        2.26.0)
SystemRequirements: GNU make
URL: https://postlink-group.github.io/postlink/
Config/Needs/website: rmarkdown, knitr, dplyr, ggplot2
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: cmake make
Repository: https://postlink-group.r-universe.dev
Date/Publication: 2026-10-21 20:44:49 UTC
RemoteUrl: https://github.com/postlink-group/postlink
RemoteRef: HEAD
RemoteSha: baa9b2e6215dbac37a060db9e5fa58e6494013eb
NeedsCompilation: yes
Packaged: 2026-10-21 20:54:24 UTC; root
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@gmail.com>