mpmm-package: Marginal Product Mixture Model for Relational Event Data
In mpmm: Marginal Product Mixture Model for Relational Event Data
Description
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 and displaying posterior predictive distributions.
Details
Package: mpmm
Type: Package
Version: 1.0
Date: 2010-01-10
License: GPL
LazyLoad: yes
Built: R 2.12.0; i486-pc-linux-gnu; 2010-11-01 07:23:54 UTC; unix
Index:
1
2
mpmm Method for fitting the marginal product mixture
model.
Author(s)
Christopher DuBois
Maintainer: Christopher DuBois <duboisc@ics.uci.edu>
mpmm documentation built on May 2, 2019, 4:55 p.m.
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Description
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 and displaying posterior predictive distributions.
Details
| Package: | mpmm |
| Type: | Package |
| Version: | 1.0 |
| Date: | 2010-01-10 |
| License: | GPL |
| LazyLoad: | yes |
| Built: | R 2.12.0; i486-pc-linux-gnu; 2010-11-01 07:23:54 UTC; unix |
Index:
1 2 | mpmm Method for fitting the marginal product mixture
model.
|
Author(s)
Christopher DuBois
Maintainer: Christopher DuBois <duboisc@ics.uci.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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