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  "Title": "Tools for Analysis of Stacked Multiple Imputations",
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  "Authors@R": "c(person(\"Lauren\", \"Beesley\", email = \"lbeesley@umich.edu\", role = c(\"aut\")),\nperson(\"Mike\", \"Kleinsasser\", email = \"mkleinsa@umich.edu\", role = c(\"cre\")))",
  "Description": "Provides methods for inference using stacked multiple\nimputations augmented with weights. The vignette provides\nexample R code for implementation in general multiple\nimputation settings. For additional details about the\nestimation algorithm, we refer the reader to Beesley, Lauren J\nand Taylor, Jeremy M G (2020) “A stacked approach for chained\nequations multiple imputation incorporating the substantive\nmodel” <doi:10.1111/biom.13372>, and Beesley, Lauren J and\nTaylor, Jeremy M G (2021) “Accounting for not-at-random\nmissingness through imputation stacking” <arXiv:2101.07954>.",
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