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.

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