schmid86/bootERGM: Exponential Random Graph Models with Parametric Bootstrapped Pseudolikelihood
Exponential Random Graph Models with Parametric Bootstrapped Pseudolikelihood as described in: C. S. Schmid and B. A. Desmarais. Exponential random graph models with big networks: Maximum pseudolikelihood estimation and the parametric bootstrap. 2017 IEEE International Conference on Big Data (Big Data), pages 116–121, Dec 2017
Getting started
Browse package contents
Package details |
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| Author | Christian Schmid <songhyo86@gmail.com>, Bruce Desmarais <bdesmarais@psu.edu> |
| Maintainer | Christian Schmid <songhyo86@gmail.com> |
| License | GPL (>=2) |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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