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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | ERPM_0.2.0.tar.gz |
74.1 KiB |
0.2.0 |
latest source/ R- | ERPM_0.2.0.tar.gz |
74.1 KiB |
0.2.0 |
2026-04-23 source/ R- | ERPM_0.2.0.tar.gz |
74.1 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | ERPM_0.2.0.zip |
323.7 KiB |