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mlmi  

Maximum Likelihood Multiple Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mlmi", "1.1.3")



Attach the package and use:
library("mlmi")
Maintained by
Jonathan Bartlett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-02
Latest Update: 2023-06-02
Description:
Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) . A number of different imputations are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using combination rules similar to Rubin's or using a likelihood score based approach based on theory by Wang and Robins (1998) .
How to cite:
Jonathan Bartlett (2019). mlmi: Maximum Likelihood Multiple Imputation. R package version 1.1.3, https://cran.r-project.org/web/packages/mlmi. Accessed 03 Jul. 2026.
Previous versions and publish date:
1.0.0 (2019-08-02 12:20), 1.1.0 (2021-04-26 17:00), 1.1.1 (2021-11-20 23:30), 1.1.2 (2023-06-02 14:00)
Other packages that cited mlmi R package
View mlmi citation profile
Other R packages that mlmi depends, imports, suggests or enhances
Complete documentation for mlmi
Functions, R codes and Examples using the mlmi R package
Some associated functions: catImp . ctsTrialWide . mixImp . normImp . normUniImp . refBasedCts . scoreBased . withinBetween . 
Some associated R codes: catimp.R . miximp.R . normimp.R .  Full mlmi package functions and examples
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