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mlmi
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", "1.1.2")
Attach the package and use:
library("mlmi")
Maintained by
Jonathan Bartlett
[Scholar Profile | Author Map]
[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 1.1.2, https://cran.r-project.org/web/packages/mlmi. Accessed 29 Mar. 2025.
Previous versions and publish date:
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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