From a8275fd94894acd2da57ef128debc93244bc07e0 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Briatte?= Date: Mon, 17 Feb 2020 08:10:58 +0100 Subject: [PATCH] Add brainGraph --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 7dc3d22..9ee3626 100755 --- a/README.md +++ b/README.md @@ -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. - [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)). +- [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. - [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/)).