ERPM-package

ERPM: Exponential Random Partition Models

Simulates and estimates the Exponential Random Partition Model presented in the paper Hoffman, Block, and Snijders (2023) tools:::Rd_expr_doi("10.1177/00811750221145166") . It can also be used to estimate longitudinal partitions, following the model proposed in Hoffman and Chabot (2023) tools:::Rd_expr_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. package

See Also

Useful links:

• https://github.com/stocnet/ERPM
• Report bugs at https://github.com/stocnet/ERPM/issues

Author(s)

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

Authors:

• Alexandra Amani
• Nico Keiser