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” .

StackImpute

R package for analyzing stacked multiple imputations

Install in R using the following R code:

devtools::install_github("lbeesleyBIOSTAT/StackImpute", build_vignettes = TRUE, build_opts = c("--no-resave-data", "--no-manual"))

library(StackImpute)

Check out the useful vignette using

browseVignettes('StackImpute')

Created by Dr. Lauren J Beesley, [email protected], Postdoctoral Research Fellow, University of Michigan