imptree

Creation of imprecise classification trees. They rely on probability estimation within each node by means of either the imprecise Dirichlet model or the nonparametric predictive inference approach. The splitting variable is selected by the strategy presented in Fink and Crossman (2013) http://www.sipta.org/isipta13/index.php?id=paper&paper=014.html, but also the original imprecise information gain of Abellan and Moral (2003) doi:10.1002/int.10143 is covered.

Last 30 days

This package has been downloaded 131 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 2 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 1,599 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 Sep 11, 2024 with 21 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.