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  "Package": "FlexRL",
  "Title": "Flexible Record Linkage and Linked Data Quality Assessment",
  "Version": "1.0.1",
  "Authors@R": "c(\nperson(\"Kayané\", \"ROBACH\", email = \"k.c.robach@amsterdamumc.nl\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0002-5725-623X\")),\nperson(c(\"Michel\", \"H.\"), \"HOF\", email = \"m.h.hof@amsterdamumc.nl\", role = c(\"aut\", \"cph\")))",
  "Description": "Probabilistically link records that refer to the same\nentities across two data sources without a unique identifier,\nusing partially identifying variables such as product code,\nbrand, category, birth year, sex or postal code. 'FlexRL'\nimplements a Stochastic Expectation Maximisation (StEM)\napproach to Record Linkage (Robach et al., 2025,\n<doi:10.1093/jrsssc/qlaf016>). The model accounts for\nregistration errors (missing values and mistakes) and for\nvariables that change over time, enforces one-to-one\nassignment, and has a low memory footprint. The package also\nprovides tools for inference on linked data: two estimators of\nthe false discovery proportion of a linkage (Robach et al.,\n2025, <doi:10.1002/sim.70292>), based on linkage scores and on\nsynthetic data, and diagnostics comparing the linked sample\nwith the source data. These tools also apply on the linkage\noutput of other record linkage packages.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "URL": "https://github.com/robachowyk/FlexRL,\nhttps://robachowyk.github.io/FlexRL/",
  "BugReports": "https://github.com/robachowyk/FlexRL/issues",
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  "Repository": "https://robachowyk.r-universe.dev",
  "Date/Publication": "2026-10-19 07:09:43 UTC",
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  "Author": "Kayané ROBACH [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-5725-623X>),\nMichel H. HOF [aut, cph]",
  "Maintainer": "Kayané ROBACH <k.c.robach@amsterdamumc.nl>",
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  "_created": "2026-10-19T13:48:00.000Z",
  "_published": "2026-10-19T13:58:40.022Z",
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    "compute_RL_FDP_score",
    "create_data_alpha",
    "FDP_score",
    "FDP_synth",
    "link_with_BRL",
    "link_with_diyar",
    "link_with_fastLink",
    "link_with_fedmatch",
    "link_with_FlexRL",
    "link_with_multilink",
    "link_with_reclin2",
    "log_lik",
    "log_possible_config",
    "mmd",
    "naive_linkage",
    "plot_distributions",
    "plot_linkage_scores",
    "plot_StEM_convergence",
    "prepare_data",
    "prop_level",
    "RL_agreement",
    "RL_diagnostics",
    "simulate_data",
    "simulateD",
    "simulateH",
    "smd",
    "StEM",
    "support_iou",
    "survival_model",
    "synthesise"
  ],
  "_help": [
    {
      "page": "compute_augmRL_FDP_synth",
      "title": "Estimate the false discovery proportion of a record-linkage method via synthetic augmentation",
      "topics": [
        "compute_augmRL_FDP_synth"
      ]
    },
    {
      "page": "compute_RL_FDP_score",
      "title": "Estimate the false discovery proportion of a record-linkage method via model specific linkage scores",
      "topics": [
        "compute_RL_FDP_score"
      ]
    },
    {
      "page": "create_data_alpha",
      "title": "Book-keeping data frame for parameters of PIVs dynamics",
      "topics": [
        "create_data_alpha"
      ]
    },
    {
      "page": "FDP_score",
      "title": "Model specific, linkage score based, false discovery proportion at a given threshold",
      "topics": [
        "FDP_score"
      ]
    },
    {
      "page": "FDP_synth",
      "title": "Model agnostic, based on synthetic data, false discovery proportion at a given threshold",
      "topics": [
        "FDP_synth"
      ]
    },
    {
      "page": "FlexRL",
      "title": "FlexRL: A Flexible Model for Record Linkage",
      "topics": [
        "FlexRL-package",
        "FlexRL"
      ]
    },
    {
      "page": "link_with_BRL",
      "title": "Run BRL through the uniform wrapper interface",
      "topics": [
        "link_with_BRL"
      ]
    },
    {
      "page": "link_with_diyar",
      "title": "Run diyar through the uniform wrapper interface",
      "topics": [
        "link_with_diyar"
      ]
    },
    {
      "page": "link_with_fastLink",
      "title": "Run fastLink through the uniform wrapper interface",
      "topics": [
        "link_with_fastLink"
      ]
    },
    {
      "page": "link_with_fedmatch",
      "title": "Run fedmatch through the uniform wrapper interface",
      "topics": [
        "link_with_fedmatch"
      ]
    },
    {
      "page": "link_with_FlexRL",
      "title": "Run FlexRL through the uniform wrapper interface",
      "topics": [
        "link_with_FlexRL"
      ]
    },
    {
      "page": "link_with_multilink",
      "title": "Run multilink through the uniform wrapper interface",
      "topics": [
        "link_with_multilink"
      ]
    },
    {
      "page": "link_with_reclin2",
      "title": "Run reclin2 through the uniform wrapper interface",
      "topics": [
        "link_with_reclin2"
      ]
    },
    {
      "page": "log_lik",
      "title": "Log-likelihood of the linkage matrix",
      "topics": [
        "log_lik"
      ]
    },
    {
      "page": "log_possible_config",
      "title": "Log number of possible linkage configurations",
      "topics": [
        "log_possible_config"
      ]
    },
    {
      "page": "mmd",
      "title": "Maximum Mean Discrepancy between two sets of variables",
      "topics": [
        "mmd"
      ]
    },
    {
      "page": "naive_linkage",
      "title": "Naive (deterministic exact-match) record linkage",
      "topics": [
        "naive_linkage"
      ]
    },
    {
      "page": "plot_distributions",
      "title": "Compare distributions of shared variables across data sets (histograms/barplots)",
      "topics": [
        "plot_distributions"
      ]
    },
    {
      "page": "plot_linkage_scores",
      "title": "Plot the distribution of linkage scores",
      "topics": [
        "plot_linkage_scores"
      ]
    },
    {
      "page": "plot_stem_convergence",
      "title": "Monte Carlo convergence (trace) plots for a fitted StEM model",
      "topics": [
        "plot_StEM_convergence"
      ]
    },
    {
      "page": "plot.discrepancy_curves",
      "title": "Plot post-linkage diagnostics over thresholds",
      "topics": [
        "plot.discrepancy_curves"
      ]
    },
    {
      "page": "plot.FDP_curves",
      "title": "Plot FDP estimates against the linkage decision threshold",
      "topics": [
        "plot.FDP_curves"
      ]
    },
    {
      "page": "plot.rl_diagnostics",
      "title": "Plot post-linkage diagnostics",
      "topics": [
        "plot.RL_diagnostics"
      ]
    },
    {
      "page": "prepare_data",
      "title": "Prepare two data sources for 'StEM()'",
      "topics": [
        "prepare_data"
      ]
    },
    {
      "page": "print.rl_diagnostics",
      "title": "Print post-linkage diagnostics",
      "topics": [
        "print.RL_diagnostics"
      ]
    },
    {
      "page": "prop_level",
      "title": "Proportion of a data set with a given variable at a given level",
      "topics": [
        "prop_level"
      ]
    },
    {
      "page": "rl_agreement",
      "title": "Agreement rate of pairs on shared variables",
      "topics": [
        "RL_agreement"
      ]
    },
    {
      "page": "rl_diagnostics",
      "title": "Post-linkage diagnostics",
      "topics": [
        "RL_diagnostics"
      ]
    },
    {
      "page": "simulate_data",
      "title": "Simulate two linked data sources for record linkage benchmarking",
      "topics": [
        "simulate_data"
      ]
    },
    {
      "page": "simulateD",
      "title": "Simulate the linkage matrix D",
      "topics": [
        "simulateD"
      ]
    },
    {
      "page": "simulateH",
      "title": "Simulate the true PIV values underlying the registered records",
      "topics": [
        "simulateH"
      ]
    },
    {
      "page": "SMD",
      "title": "Standardised mean difference between a selected set and a baseline",
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        "smd"
      ]
    },
    {
      "page": "stEM",
      "title": "Stochastic Expectation-Maximisation for record linkage",
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        "StEM"
      ]
    },
    {
      "page": "support_iou",
      "title": "Intersection-over-union of two histogram supports",
      "topics": [
        "support_iou"
      ]
    },
    {
      "page": "survival_model",
      "title": "Survival models for the dynamics of a PIV",
      "topics": [
        "survival_model"
      ]
    },
    {
      "page": "synthesise",
      "title": "Augment file B with synthetic records",
      "topics": [
        "synthesise"
      ]
    }
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