{
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  "Package": "psfmi",
  "Type": "Package",
  "Title": "Prediction Model Pooling, Selection and Performance Evaluation\nAcross Multiply Imputed Datasets",
  "Version": "1.4.0",
  "Authors@R": "c(\nperson(\"Martijn\", \"Heymans\", email = \"mw.heymans@amsterdamumc.nl\", role=c(\"cre\", \"aut\"),\ncomment = c(ORCID = \"0000-0002-3889-0921\")),\nperson(\"Iris\", \"Eekhout\", email = \"iris.eekhout@tno.nl\", role=c(\"ctb\")))",
  "Description": "Pooling, backward and forward selection of linear,\nlogistic and Cox regression models in multiply imputed\ndatasets. Backward and forward selection can be done from the\npooled model using Rubin's Rules (RR), the D1, D2, D3, D4 and\nthe median p-values method. This is also possible for Mixed\nmodels. The models can contain continuous, dichotomous,\ncategorical and restricted cubic spline predictors and\ninteraction terms between all these type of predictors. The\nstability of the models can be evaluated using (cluster)\nbootstrapping. The package further contains functions to pool\nmodel performance measures as ROC/AUC, Reclassification,\nR-squared, scaled Brier score, H&L test and calibration plots\nfor logistic regression models. Internal validation can be done\nacross multiply imputed datasets with cross-validation or\nbootstrapping. The adjusted intercept after shrinkage of pooled\nregression coefficients can be obtained. Backward and forward\nselection as part of internal validation is possible. A\nfunction to externally validate logistic prediction models in\nmultiple imputed datasets is available and a function to\ncompare models. For Cox models a strata variable can be\nincluded. Eekhout (2017) <doi:10.1186/s12874-017-0404-7>. Wiel\n(2009) <doi:10.1093/biostatistics/kxp011>. Marshall (2009)\n<doi:10.1186/1471-2288-9-57>.",
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  "License": "GPL (>= 2)",
  "URL": "https://mwheymans.github.io/psfmi/",
  "BugReports": "https://github.com/mwheymans/psfmi/issues/",
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  "Repository": "https://mwheymans.r-universe.dev",
  "Date/Publication": "2025-10-26 14:50:39 UTC",
  "RemoteUrl": "https://github.com/mwheymans/psfmi",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 08:04:05 UTC",
    "User": "root"
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  "Author": "Martijn Heymans [cre, aut] (ORCID:\n<https://orcid.org/0000-0002-3889-0921>),\nIris Eekhout [ctb]",
  "Maintainer": "Martijn Heymans <mw.heymans@amsterdamumc.nl>",
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  "_created": "2026-06-04T08:04:05.000Z",
  "_published": "2026-06-04T08:09:15.102Z",
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  "_topics": [
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    "imputed-datasets",
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  "_assets": [
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    "extra/citation.json",
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      "date": "2019-05-16"
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      "date": "2020-02-03"
    },
    {
      "version": "0.5.0",
      "date": "2020-09-24"
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      "date": "2021-01-13"
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    "glm_bw",
    "glm_fw",
    "hoslem_test",
    "km_estimates",
    "km_fit",
    "mean_auc_log",
    "MI_boot",
    "MI_cv_naive",
    "miceImp",
    "mivalext_lr",
    "nri_cox",
    "nri_est",
    "pool_auc",
    "pool_compare_models",
    "pool_D2",
    "pool_D4",
    "pool_intadj",
    "pool_performance",
    "pool_performance_internal",
    "pool_reclassification",
    "pool_RR",
    "psfmi_coxr",
    "psfmi_coxr_bw",
    "psfmi_coxr_fw",
    "psfmi_lm",
    "psfmi_lm_bw",
    "psfmi_lm_fw",
    "psfmi_lr",
    "psfmi_lr_bw",
    "psfmi_lr_fw",
    "psfmi_mm",
    "psfmi_mm_multiparm",
    "psfmi_perform",
    "psfmi_stab",
    "psfmi_validate",
    "risk_coxph",
    "RR_diff_prop",
    "rsq_nagel",
    "rsq_surv",
    "scaled_brier",
    "stab_single"
  ],
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      "object": "anderson",
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        "treatment",
        "sex",
        "log_wbc"
      ],
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        "tbl",
        "data.frame"
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        "Age_C",
        "Aortadis",
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        "Stomach_Ache",
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        "Radiation"
      ],
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      "object": "bmd",
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        "weight",
        "walkscor"
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    },
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      "title": "Data about concentration of ß2-microglobuline in urine as indicator for possible damage to the kidney",
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      ],
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        "SumSkinfolds4",
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        "Smoking",
        "Sex"
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      "object": "day2_dataset4_mi",
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      "object": "hipstudy",
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        "data.frame"
      ],
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        "Gender",
        "Age",
        "Mobility",
        "Dementia",
        "Home",
        "Comorbidity",
        "ASA",
        "Hemoglobine",
        "Leucocytes",
        "Thrombocytes",
        "CRP",
        "Creatinine",
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        "Albumine",
        "Fracture",
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        "Mortality"
      ],
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      "table": true,
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      "name": "hipstudy_external",
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      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "Carrying",
        "Pain",
        "Tampascale",
        "Function",
        "Radiation",
        "Age",
        "Smoking",
        "Satisfaction",
        "JobControl",
        "JobDemands",
        "SocialSupport",
        "Duration",
        "BMI"
      ],
      "rows": 159,
      "table": true,
      "tojson": true
    },
    {
      "name": "lbpmi_extval",
      "title": "Example dataset of Low Back Pain Patients for external validation",
      "object": "lbpmi_extval",
      "class": [
        "data.frame"
      ],
      "fields": [
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        "ID",
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        "Gender",
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        "Pain",
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      "table": true,
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    {
      "name": "lbpmicox",
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      "object": "lbpmicox",
      "class": [
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      ],
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        "Satisfaction",
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        "Social",
        "Expectation",
        "Expect_cat"
      ],
      "rows": 2650,
      "table": true,
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    {
      "name": "lbpmilr",
      "title": "Example dataset for psfmi_lr function",
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      "class": [
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        "Chronic",
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      "table": true,
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      "title": "Data of the development of lung and heartvolume of unborn babies",
      "object": "lungvolume",
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        "data.frame"
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      "fields": [
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        "week",
        "weight",
        "lungvol",
        "heartvol",
        "Nweek"
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      "tojson": true
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    {
      "name": "mammaca",
      "title": "Data of a study among women with breast cancer",
      "object": "mammaca",
      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "time",
        "status",
        "er",
        "age",
        "histgrad",
        "ln_yesno",
        "pathsd",
        "pr"
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      "rows": 1207,
      "table": true,
      "tojson": true
    },
    {
      "name": "men",
      "title": "Data of 613 patients with meningitis",
      "object": "men",
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      "buildurl": "https://github.com/r-universe/mwheymans/actions/runs/26938886932"
    }
  ]
}