{
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  "Package": "postlink",
  "Type": "Package",
  "Title": "Post-Linkage Data Analysis",
  "Version": "0.1.0.9000",
  "Authors@R": "c(\nperson(\"Priyanjali\", \"Bukke\", email = \"postlink.group@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Gauri\", \"Kamat\", role = \"aut\"),\nperson(\"Jiahao\", \"Cui\", role = \"aut\"),\nperson(\"Roee\", \"Gutman\", role = \"aut\"),\nperson(\"Martin\", \"Slawski\", role = \"aut\"),\nperson(\"Zhenbang\", \"Wang\", role = \"ctb\"),\nperson(\"Brady T.\", \"West\", role = \"ctb\"),\nperson(\"Emanuel\", \"Ben-David\", role = \"ctb\"),\nperson(\"Guoqing\", \"Diao\", role = \"ctb\")\n)",
  "VignetteBuilder": "knitr",
  "Description": "Provides a suite of statistical tools for post-linkage\ndata analysis (PLDA), designed to account for record linkage\nerrors in downstream modeling. The package implements a\nfamiliar, formula-based regression interface that adjusts for\nlinkage uncertainty, accommodating workflows where direct\naccess to unlinked primary files is restricted. It consolidates\ndiverse adjustment methodologies, all of which support\ngeneralized linear models (linear, logistic, Poisson, and\nGamma). These methodologies include weighting approaches\n(Chambers (2009) <https://hdl.handle.net/10779/uow.27788247>;\nChambers et al. (2023) <doi:10.1002/wics.1596>), mixture\nmodeling (Slawski et al. (2025) <doi:10.1093/jrsssa/qnae083>),\nand Bayesian mixture modeling (Gutman et al. (2016)\n<doi:10.1002/sim.6586>). For time-to-event data, both the\nweighting (Vo et al. (2024) <doi:10.1002/sim.9960>) and mixture\nmodeling approaches accommodate Cox proportional hazards\nmodels, while the Bayesian approaches extend to parametric\nsurvival analysis. Additionally, the package leverages mixture\nmodeling for contingency table analyses and Bayesian methods to\nenable the multiple imputation of latent match status.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
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  "BugReports": "https://github.com/postlink-group/postlink/issues",
  "Biarch": "true",
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  "URL": "https://postlink-group.github.io/postlink/",
  "Config/Needs/website": "rmarkdown",
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  "Repository": "https://postlink-group.r-universe.dev",
  "Date/Publication": "2026-05-13 00:43:40 UTC",
  "RemoteUrl": "https://github.com/postlink-group/postlink",
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  "Packaged": {
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    "User": "root"
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  "Author": "Priyanjali Bukke [aut, cre],\nGauri Kamat [aut],\nJiahao Cui [aut],\nRoee Gutman [aut],\nMartin Slawski [aut],\nZhenbang Wang [ctb],\nBrady T. West [ctb],\nEmanuel Ben-David [ctb],\nGuoqing Diao [ctb]",
  "Maintainer": "Priyanjali Bukke <postlink.group@gmail.com>",
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  "_created": "2026-05-13T02:40:41.000Z",
  "_published": "2026-06-02T20:09:20.817Z",
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    "adjMixBayes",
    "adjMixture",
    "coxphELE",
    "coxphMixture",
    "ctableMixture",
    "glmELE",
    "glmMixBayes",
    "glmMixture",
    "mi_with",
    "plcoxph",
    "plctable",
    "plglm",
    "plsurvreg",
    "survregMixBayes"
  ],
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      "title": "Behavioral Risk Factor Surveillance System (BRFSS) 2013 Subsample",
      "object": "brfss",
      "class": [
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      "tojson": true
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      "class": [
        "data.frame"
      ],
      "fields": [
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        "unit_yob",
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        "hndlnk",
        "commf",
        "comml"
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      "rows": 3238,
      "table": true,
      "tojson": true
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  "_help": [
    {
      "page": "postlink-package",
      "title": "postlink: Post-Linkage Data Analysis Under Record Linkage Errors",
      "topics": [
        "postlink-package",
        "postlink"
      ]
    },
    {
      "page": "adjELE",
      "title": "Secondary Analysis Constructor Assuming ELE",
      "topics": [
        "adjELE"
      ]
    },
    {
      "page": "adjMixBayes",
      "title": "Secondary Analysis Constructor Based on Bayesian Mixture Modeling",
      "topics": [
        "adjMixBayes"
      ]
    },
    {
      "page": "adjMixture",
      "title": "Secondary Analysis Constructor Based on Mixture Modeling",
      "topics": [
        "adjMixture"
      ]
    },
    {
      "page": "brfss",
      "title": "Behavioral Risk Factor Surveillance System (BRFSS) 2013 Subsample",
      "topics": [
        "brfss"
      ]
    },
    {
      "page": "confint.coxphELE",
      "title": "Confidence Intervals for coxphELE Objects",
      "topics": [
        "confint.coxphELE"
      ]
    },
    {
      "page": "confint.coxphMixture",
      "title": "Confidence Intervals for coxphMixture Objects",
      "topics": [
        "confint.coxphMixture"
      ]
    },
    {
      "page": "confint.ctablemixture",
      "title": "Confidence Intervals for Adjusted Cell Probabilities",
      "topics": [
        "confint.ctableMixture"
      ]
    },
    {
      "page": "confint.glmELE",
      "title": "Confidence Intervals for 'glmELE' Objects",
      "topics": [
        "confint.glmELE"
      ]
    },
    {
      "page": "confint.glmMixBayes",
      "title": "Credible intervals for regression coefficients from a glmMixBayes fit",
      "topics": [
        "confint.glmMixBayes"
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    },
    {
      "page": "confint.glmMixture",
      "title": "Confidence Intervals for glmMixture Objects",
      "topics": [
        "confint.glmMixture"
      ]
    },
    {
      "page": "confint.survMixBayes",
      "title": "Credible intervals for parameters from a survMixBayes fit",
      "topics": [
        "confint.survMixBayes"
      ]
    },
    {
      "page": "coxphELE",
      "title": "Fit a CoxPH Model Assuming Exchangeable Linkage Errors",
      "topics": [
        "coxphELE"
      ]
    },
    {
      "page": "coxphMixture",
      "title": "CoxPH with Mixture-Based Linkage Error Adjustment",
      "topics": [
        "coxphMixture"
      ]
    },
    {
      "page": "ctableMixture",
      "title": "Contingency Table Analysis with Mixture-Based Adjustment",
      "topics": [
        "ctableMixture"
      ]
    },
    {
      "page": "glmELE",
      "title": "GLM with ELE-Based Linkage Error Adjustment",
      "topics": [
        "glmELE"
      ]
    },
    {
      "page": "glmMixBayes",
      "title": "Bayesian two-component mixture generalized linear model",
      "topics": [
        "glmMixBayes"
      ]
    },
    {
      "page": "glmMixture",
      "title": "GLM with Mixture-Based Linkage Error Adjustment",
      "topics": [
        "glmMixture"
      ]
    },
    {
      "page": "lifem",
      "title": "Longitudinal Intergenerational Family Electronic Micro-Database",
      "topics": [
        "lifem"
      ]
    },
    {
      "page": "mi_with",
      "title": "Pool parameter estimates across posterior draws",
      "topics": [
        "mi_with"
      ]
    },
    {
      "page": "mi_with.glmMixBayes",
      "title": "Pooling regression fits across posterior draws of correct-match classifications",
      "topics": [
        "mi_with.glmMixBayes"
      ]
    },
    {
      "page": "mi_with.survMixBayes",
      "title": "Pool regression fits across posterior draws of correct-match classifications",
      "topics": [
        "mi_with.survMixBayes"
      ]
    },
    {
      "page": "plcoxph",
      "title": "Fit Cox Proportional Hazards Models with Linkage Error Adjustment",
      "topics": [
        "plcoxph"
      ]
    },
    {
      "page": "plctable",
      "title": "Analysis of Contingency Tables with Linkage Error Adjustment",
      "topics": [
        "plctable"
      ]
    },
    {
      "page": "plglm",
      "title": "Fit Generalized Linear Models with Linkage Error Adjustment",
      "topics": [
        "plglm"
      ]
    },
    {
      "page": "plsurvreg",
      "title": "Fit Parametric Survival Models with Linkage Error Adjustment",
      "topics": [
        "plsurvreg"
      ]
    },
    {
      "page": "predict.coxphELE",
      "title": "Predictions from a coxphELE Object",
      "topics": [
        "predict.coxphELE"
      ]
    },
    {
      "page": "predict.coxphMixture",
      "title": "Model Predictions for coxphMixture Objects",
      "topics": [
        "predict.coxphMixture"
      ]
    },
    {
      "page": "predict.glmELE",
      "title": "Predictions for 'glmELE' Objects",
      "topics": [
        "predict.glmELE"
      ]
    },
    {
      "page": "predict.glmMixBayes",
      "title": "Predictions from a glmMixBayes model",
      "topics": [
        "predict.glmMixBayes"
      ]
    },
    {
      "page": "predict.glmMixture",
      "title": "Model Predictions for glmMixture Objects",
      "topics": [
        "predict.glmMixture"
      ]
    },
    {
      "page": "predict.survMixBayes",
      "title": "Predictions from a survMixBayes model",
      "topics": [
        "predict.survMixBayes"
      ]
    },
    {
      "page": "print.adjELE",
      "title": "Print Method for 'adjELE' Objects",
      "topics": [
        "print.adjELE"
      ]
    },
    {
      "page": "print.adjMixBayes",
      "title": "Print Method for 'adjMixBayes' Objects",
      "topics": [
        "print.adjMixBayes"
      ]
    },
    {
      "page": "print.adjMixture",
      "title": "Print Method for 'adjMixture' Objects",
      "topics": [
        "print.adjMixture"
      ]
    },
    {
      "page": "print.coxphELE",
      "title": "Print a coxphELE Object",
      "topics": [
        "print.coxphELE"
      ]
    },
    {
      "page": "print.coxphMixture",
      "title": "Print a coxphMixture Object",
      "topics": [
        "print.coxphMixture"
      ]
    },
    {
      "page": "print.ctablemixture",
      "title": "Print Method for Adjusted Contingency Tables",
      "topics": [
        "print.ctableMixture"
      ]
    },
    {
      "page": "print.glmELE",
      "title": "Print a 'glmELE' Object",
      "topics": [
        "print.glmELE"
      ]
    },
    {
      "page": "print.glmMixBayes",
      "title": "Print a glmMixBayes model object",
      "topics": [
        "print.glmMixBayes"
      ]
    },
    {
      "page": "print.glmMixture",
      "title": "Print a glmMixture Object",
      "topics": [
        "print.glmMixture"
      ]
    },
    {
      "page": "print.mi_link_pool_glm",
      "title": "Print pooled regression results",
      "topics": [
        "print.mi_link_pool_glm"
      ]
    },
    {
      "page": "print.mi_link_pool_survreg",
      "title": "Print pooled Cox regression results",
      "topics": [
        "print.mi_link_pool_survreg"
      ]
    },
    {
      "page": "print.survMixBayes",
      "title": "Print a survMixBayes model object",
      "topics": [
        "print.survMixBayes"
      ]
    },
    {
      "page": "summary.coxphELE",
      "title": "Summary of a coxphELE Object",
      "topics": [
        "summary.coxphELE"
      ]
    },
    {
      "page": "summary.coxphMixture",
      "title": "Summarizing Cox PH Mixture Fits",
      "topics": [
        "summary.coxphMixture"
      ]
    },
    {
      "page": "summary.ctablemixture",
      "title": "Summary Method for Adjusted Contingency Tables",
      "topics": [
        "summary.ctableMixture"
      ]
    },
    {
      "page": "summary.glmELE",
      "title": "Summarize a 'glmELE' Object",
      "topics": [
        "summary.glmELE"
      ]
    },
    {
      "page": "summary.glmMixBayes",
      "title": "Summary method for glmMixBayes models",
      "topics": [
        "summary.glmMixBayes"
      ]
    },
    {
      "page": "summary.glmMixture",
      "title": "Summarizing GLM Mixture Fits",
      "topics": [
        "summary.glmMixture"
      ]
    },
    {
      "page": "summary.survMixBayes",
      "title": "Summary method for survMixBayes models",
      "topics": [
        "summary.survMixBayes"
      ]
    },
    {
      "page": "survregMixBayes",
      "title": "Bayesian two-component mixture survival regression model",
      "topics": [
        "survregMixBayes"
      ]
    },
    {
      "page": "vcov.coxphELE",
      "title": "Variance-Covariance Matrix for coxphELE Objects",
      "topics": [
        "vcov.coxphELE"
      ]
    },
    {
      "page": "vcov.coxphMixture",
      "title": "Extract Variance-Covariance Matrix from a coxphMixture Object",
      "topics": [
        "vcov.coxphMixture"
      ]
    },
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        "Abstract",
        "1. Introduction",
        "2. The postlink Architecture",
        "Phase 1: Adjustment Specification",
        "Phase 2: Estimation and Inference",
        "Dual-Access Interface",
        "3. Adjustment Methods for Secondary Analysis",
        "3.1 Weighting",
        "3.2 Inferring true links via latent mixture modeling (EM)",
        "3.3 Bayesian mixture modeling and multiple imputation",
        "4. Illustrations",
        "4.1 The Benchmarks (Models 1--3)",
        "4.2 Aggregate Information (Model 4)",
        "4.3 Probabilistic Paradata (Models 5--7)",
        "4.4 Prior Knowledge (Model 8)",
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        "4.6 Decoupling Linkage and Analysis via Multiple Imputation",
        "5. Conclusion",
        "Computational Details",
        "Acknowledgments",
        "Appendix A: Computational and variance estimation details for the ELE model",
        "A.1 Computation of expected design matrices",
        "A.2 Variance estimation and audit sample uncertainty",
        "Appendix B: Default Prior Distributions for Each Family of Distributions",
        "References"
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