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howManyImputations  

Calculate How many Imputations are Needed for Multiple Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("howManyImputations", "0.2.5")



Attach the package and use:
library("howManyImputations")
Maintained by
Josh Errickson
[Scholar Profile | Author Map]
First Published: 2022-04-06
Latest Update: 2023-02-05
Description:
When performing multiple imputations, while 5-10 imputations are sufficient for obtaining point estimates, a larger number of imputations are needed for proper standard error estimates. This package allows you to calculate how many imputations are needed, following the work of von Hippel (2020) .
How to cite:
Josh Errickson (2022). howManyImputations: Calculate How many Imputations are Needed for Multiple Imputation. R package version 0.2.5, https://cran.r-project.org/web/packages/howManyImputations. Accessed 07 Apr. 2025.
Previous versions and publish date:
0.2.2 (2022-04-06 09:52), 0.2.3 (2022-06-01 00:20), 0.2.4 (2023-02-05 21:42)
Other packages that cited howManyImputations R package
View howManyImputations citation profile
Other R packages that howManyImputations depends, imports, suggests or enhances
Complete documentation for howManyImputations
Functions, R codes and Examples using the howManyImputations R package
Some associated functions: howManyImputations . how_many_imputations . 
Some associated R codes: how_many_imputations.R .  Full howManyImputations package functions and examples
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