mlfit

The Iterative Proportional Fitting (IPF) algorithm operates on count data. This package offers implementations for several algorithms that extend this to nested structures: 'parent' and 'child' items for both of which constraints can be provided. The fitting algorithms include Iterative Proportional Updating https://trid.trb.org/view/881554, Hierarchical IPF doi:10.3929/ethz-a-006620748, Entropy Optimization https://trid.trb.org/view/881144, and Generalized Raking doi:10.2307/2290793. Additionally, a number of replication methods is also provided such as 'Truncate, replicate, sample' doi:10.1016/j.compenvurbsys.2013.03.004.

Last 30 days

This package has been downloaded 190 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 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 2,831 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 45 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.