Tools for Analysis of Stacked Multiple Imputations R package StackImpute version 0.1.0 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>. Software Depends: R (>= 3.6.0) Imports: sandwich, zoo, mice, dplyr, MASS, magrittr, boot Suggests: knitr, rmarkdown Mike Kleinsasser <mkleinsa@umich.edu> Comprehensive R Archive Network (CRAN) Lauren Beesley [aut], Mike Kleinsasser [cre] GPL-2 2021-09-10 application/tgz https://CRAN.R-project.org/package=StackImpute doi:10.32614/CRAN.package.StackImpute