From fec45713579be0332345bf8a5e4e612d3490f945 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Franc=CC=A7ois?= Date: Sun, 17 Apr 2016 01:24:06 +0200 Subject: [PATCH] RiskNetwork Shiny app --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 9372a72..f35b60d 100644 --- a/README.md +++ b/README.md @@ -309,7 +309,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes > For more awesome R resources, see the [Awesome R](https://github.com/qinwf/awesome-R) and [Awesome R Books](https://github.com/RomanTsegelskyi/rbooks) lists. 1. [Bergm](https://cran.r-project.org/web/packages/Bergm/) - Tools to analyse Bayesian exponential random graph models (BERGM). -- [bnlearn](https://cran.r-project.org/web/packages/bnlearn/) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/). +- [bnlearn](https://cran.r-project.org/web/packages/bnlearn/) - Tools for [Bayesian network learning and inference](http://www.bnlearn.com/) ([related Shiny app](https://paulgovan.github.io/RiskNetwork/)). - [CCAS](https://github.com/matthewjdenny/CCAS) - A statistical model for communication networks. - [concoR](https://github.com/aslez/concoR) - A translation of the CONCOR network blockmodeling algorithm ([blog post](http://badhessian.org/2015/05/concor-in-r/)). - [ContentStructure](https://github.com/matthewjdenny/ContentStructure) - implements an extension to the [Topic-Partitioned Multinetwork Embeddings (TPME) model](http://dirichlet.net/pdf/krafft12topic-partitioned.pdf).