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.

AuthorChristopher DuBois
Date of publicationNone
MaintainerChristopher DuBois <duboisc@ics.uci.edu>
LicenseGPL
Version0.1

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