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.
|Maintainer||Christopher DuBois <[email protected]>|
|Package repository||View on R-Forge|
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