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@example.com>|
|Package repository||View on R-Forge|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.