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ERPM: Exponential Random Partition Models
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.
Getting started
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Package details |
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| Author | Marion Hoffman [cre, aut, cph] (<https://orcid.org/0000-0002-0741-7760>), Alexandra Amani [aut], Nico Keiser [aut] |
| Maintainer | Marion Hoffman <marion.hoffman.31@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.2.0 |
| URL | https://github.com/stocnet/ERPM |
| Package repository | View on CRAN |
| Installation |
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