ERPM-package {ERPM}R Documentation

ERPM: Exponential Random Partition Models

Description

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.

Author(s)

Maintainer: Marion Hoffman marion.hoffman.31@gmail.com (ORCID) [copyright holder]

Authors:

See Also

Useful links:


[Package ERPM version 0.2.0 Index]