mlmi

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.

Last 30 days

This package has been downloaded 191 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,337 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 139 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.