Package: StackImpute 0.1.0

StackImpute: Tools for Analysis of Stacked Multiple Imputations

Provides methods for inference using stacked multiple imputations augmented with weights. The vignette provides example R code for implementation in general multiple imputation settings. For additional details about the estimation algorithm, we refer the reader to Beesley, Lauren J and Taylor, Jeremy M G (2020) “A stacked approach for chained equations multiple imputation incorporating the substantive model” <doi:10.1111/biom.13372>, and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random missingness through imputation stacking” <arxiv:2101.07954>.

Authors:Lauren Beesley [aut], Mike Kleinsasser [cre]

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Exports:%>%Bootstrap_Variancefunc.bootfunc.jackglm.weighted.dispersionJackknife_VarianceLouis_InformationLouis_Information_Custommy_update

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6RcppRcppEigenreadrrlangrpartsandwichshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithrzoo