Description
Tools for Analysis of Stacked Multiple Imputations.
Description
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>.
README.md
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.