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@ -658,6 +658,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this
- [bipartite](https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: `levelnet` R package. - [bipartite](https://CRAN.R-project.org/package=bipartite) - Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: `levelnet` R package.
- [blockmodeling](https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks. - [blockmodeling](https://CRAN.R-project.org/package=blockmodeling) - Implementats generalized blockmodeling for valued networks.
- [bnlearn](https://CRAN.R-project.org/package=bnlearn) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork)). - [bnlearn](https://CRAN.R-project.org/package=bnlearn) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork)).
- [brainGraph](https://cran.r-project.org/package=brainGraph) - Tools for performing graph theory analysis of brain MRI data.
- [btergm](https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs. - [btergm](https://CRAN.R-project.org/package=btergm) - Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs.
- [CCAS](https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks. - [CCAS](https://github.com/matthewjdenny/CCAS) - Statistical model for communication networks.
- [concoR](https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)). - [concoR](https://github.com/aslez/concoR) - Implementation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)).