jwb133/mlmi: Maximum Likelihood Multiple Imputation

Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel (2018) <arXiv:1210.0870v9>. 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) <doi:10.1093/biomet/85.4.935>.

Getting started

Package details

AuthorJonathan Bartlett
MaintainerJonathan Bartlett <[email protected]>
LicenseGPL-3
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("jwb133/mlmi")
jwb133/mlmi documentation built on Aug. 3, 2019, 7:18 p.m.