ERPM

Simulates and estimates the Exponential Random Partition Model presented in the paper Hoffman, Block, and Snijders (2023) doi:10.1177/00811750221145166. It can also be used to estimate longitudinal partitions, following the model proposed in Hoffman and Chabot (2023) doi:10.1016/j.socnet.2023.04.002. The model is an exponential family distribution on the space of partitions (sets of non-overlapping groups) and is called in reference to the Exponential Random Graph Models (ERGM) for networks.

Last 30 days

This package has been downloaded 137 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 7 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 1,468 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 May 12, 2024 with 51 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.