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 In views: NetworkAnalysis CRAN checks: ERPM results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ERPM to link to this page.
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