Add: R: hierformR

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François 2017-07-14 11:44:58 +02:00
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@ -640,6 +640,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes
- [ggnetwork](https://cran.r-project.org/web/packages/ggnetwork/) - Multiple-geometries approach to plot network objects with ggplot2. - [ggnetwork](https://cran.r-project.org/web/packages/ggnetwork/) - Multiple-geometries approach to plot network objects with ggplot2.
- [ggraph](https://github.com/thomasp85/ggraph) - Grammar of graph graphics built in the spirit of ggplot2. - [ggraph](https://github.com/thomasp85/ggraph) - Grammar of graph graphics built in the spirit of ggplot2.
- [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence. - [hergm](https://cran.r-project.org/web/packages/hergm/) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence.
- [hierformR](https://cran.r-project.org/package=hierformR) Determine paths and states that social networks develop over time to form social hierarchies.
- [igraph](http://igraph.org/r/) - A collection of network analysis tools. - [igraph](http://igraph.org/r/) - A collection of network analysis tools.
- [Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (2016). - [Network Analysis and Visualization with R and igraph](http://kateto.net/networks-r-igraph) (2016).
- [influenceR](https://cran.r-project.org/web/packages/influenceR/) - Compute various node centrality network measures by Burt, Borgatti and others. - [influenceR](https://cran.r-project.org/web/packages/influenceR/) - Compute various node centrality network measures by Burt, Borgatti and others.