kcmeans

Implementation of the KCMeans regression estimator studied by Wiemann (2023) doi:10.48550/arXiv.2311.17021 for expectation function estimation conditional on categorical variables. Computation leverages the unconditional KMeans implementation in one dimension using dynamic programming algorithm of Wang and Song (2011) doi:10.32614/RJ-2011-015, allowing for global solutions in time polynomial in the number of observed categories.

Last 30 days

This package has been downloaded 138 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 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 1,933 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 Jan 22, 2025 with 20 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.