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  "Title": "Multiple Imputation Through 'XGBoost'",
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  "Description": "Multiple imputation using 'XGBoost', subsampling, and\npredictive mean matching as described in Deng and Lumley (2024)\n<doi:10.1080/10618600.2023.2252501>.  The package supports\nvarious types of variables, offers flexible settings, and\nenables saving an imputation model to impute new data. Data\nprocessing and memory usage have been optimised to speed up the\nimputation process.",
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      "title": "NHANES III (1988-1994) newborn data",
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        "ethnicity",
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        "recumbent_length_cm",
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        "second_subscapular_skinfold_mm",
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    },
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      "page": "impute_new",
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      "topics": [
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    },
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      "page": "mixgb",
      "title": "Multiple imputation through XGBoost",
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