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StackImpute  

Tools for Analysis of Stacked Multiple Imputations
View on CRAN: Click here


Download and install StackImpute package within the R console
Install from CRAN:
install.packages("StackImpute")

Install from Github:
library("remotes")
install_github("cran/StackImpute")

Install by package version:
library("remotes")
install_version("StackImpute", "0.1.0")



Attach the package and use:
library("StackImpute")
Maintained by
Mike Kleinsasser
[Scholar Profile | Author Map]
First Published: 2021-09-10
Latest Update: 2021-09-10
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” <doi:10.48550/arXiv.2101.07954>.
How to cite:
Mike Kleinsasser (2021). StackImpute: Tools for Analysis of Stacked Multiple Imputations. R package version 0.1.0, https://cran.r-project.org/web/packages/StackImpute. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Complete documentation for StackImpute
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