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StackImpute
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.StackImpute . StackImpute results . StackImpute.pdf . UsingStackImpute . StackImpute_0.1.0.tar.gz . StackImpute_0.1.0.zip . StackImpute_0.1.0.zip . StackImpute_0.1.0.zip . StackImpute_0.1.0.tgz . StackImpute_0.1.0.tgz . StackImpute_0.1.0.tgz . StackImpute_0.1.0.tgz . StackImpute_0.1.0.tgz . StackImpute_0.1.0.tgz . https://CRAN.R-project.org/package=StackImpute .
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:
No previous versions
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Other R packages that StackImpute depends,
imports, suggests or enhances
Complete documentation for StackImpute
Functions, R codes and Examples using
the StackImpute R package
Some associated functions: Bootstrap_Variance . Jackknife_Variance . Louis_Information . Louis_Information_Custom . func.boot . func.jack . glm.weighted.dispersion . my_update . pipe . stackExample .
Some associated R codes: Bootstrap_Variance.R . Jackknife_Variance.R . Louis_Information.R . data.R . globalVariables.R . utils-pipe.R . Full StackImpute package functions and examples
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