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” , and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for not-at-random missingness through imputation stacking” .


Reference manual

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0.1.0 by Mike Kleinsasser, 4 months ago

Browse source code at

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

Documentation:   PDF Manual  

GPL-2 license

Imports sandwich, zoo, mice, dplyr, MASS, magrittr, boot

Suggests knitr, rmarkdown

See at CRAN