mlmi
Maximum Likelihood Multiple Imputation
Implements proper and so-called Maximum Likelihood Multiple Imputation as described by von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. A number of different imputation methods are available, by utilising the 'norm', 'cat' and 'mix' packages. Inferences can be performed either using Rubin's rules (for proper imputation), or a modified version for maximum likelihood imputation. For maximum likelihood imputations a likelihood score based approach based on theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935> is also available.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.3 |
rolling linux/jammy R-4.5 | mlmi_1.1.3.tar.gz |
99.8 KiB |
1.1.3 |
rolling linux/noble R-4.5 | mlmi_1.1.3.tar.gz |
99.8 KiB |
1.1.3 |
rolling source/ R- | mlmi_1.1.3.tar.gz |
39.3 KiB |
1.1.3 |
latest linux/jammy R-4.5 | mlmi_1.1.3.tar.gz |
99.8 KiB |
1.1.3 |
latest linux/noble R-4.5 | mlmi_1.1.3.tar.gz |
99.8 KiB |
1.1.3 |
latest source/ R- | mlmi_1.1.3.tar.gz |
39.3 KiB |
1.1.3 |
2026-04-26 source/ R- | mlmi_1.1.3.tar.gz |
39.3 KiB |
1.1.3 |
2026-04-23 source/ R- | mlmi_1.1.3.tar.gz |
39.3 KiB |
1.1.3 |
2026-04-09 windows/windows R-4.5 | mlmi_1.1.3.zip |
102.6 KiB |
1.1.2 |
2025-04-20 source/ R- | mlmi_1.1.2.tar.gz |
37.9 KiB |