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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.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.2) |
| Imports: |
numbers, utils, stats, igraph, RColorBrewer, snowfall |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-05-10 |
| DOI: |
10.32614/CRAN.package.ERPM |
| Author: |
Marion Hoffman 
[cre, aut, cph],
Alexandra Amani [aut],
Nico Keiser [aut] |
| Maintainer: |
Marion Hoffman <marion.hoffman.31 at gmail.com> |
| BugReports: |
https://github.com/stocnet/ERPM/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/stocnet/ERPM |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
ERPM results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ERPM
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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