Nothing
mlmi: Maximum Likelihood Multiple Imputation
Implements so called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. 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
Browse package contents
Package details |
|
|---|---|
| Author | Jonathan Bartlett |
| Maintainer | Jonathan Bartlett <jonathan.bartlett1@lshtm.ac.uk> |
| License | GPL-3 |
| Version | 1.1.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the mlmi package in your browser
Any scripts or data that you put into this service are public.
