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mpmm: Marginal Product Mixture Model for Relational Event Data
This package implements the Marginal Product Mixture Model (MPMM) for relational event data. Inference for the model is implemented via a collapsed Gibbs sampler written in C. Utility functions for processing sets of relational events, displaying posterior predictive distributions, and fitting baseline models are also included.
Getting started
Browse package contents
Package details |
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| Author | Christopher DuBois |
| Maintainer | Christopher DuBois <duboisc@ics.uci.edu> |
| License | GPL |
| Version | 0.1 |
| Package repository | View on R-Forge |
| Installation |
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