From 6e6a2984a09c3bb24ba999f572d7d715eddd8bea Mon Sep 17 00:00:00 2001 From: James Hollway Date: Tue, 28 Oct 2025 11:37:50 +0100 Subject: [PATCH] Update R resources in README.md Added a reference to the CRAN Task View on Network Analysis and included additional resources for R packages related to network analysis. --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index ec97570..9c372a4 100755 --- a/README.md +++ b/README.md @@ -689,10 +689,11 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this ### R -> 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. See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others. +> 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. For an official list of R packages for network analysis, see the [CRAN Task View on Network Analysis](https://cran.r-project.org/web/views/NetworkAnalysis.html). See also [this Google spreadsheet](https://docs.google.com/spreadsheets/d/1CoFGtrW85D9FsVcAE5-bcXVl6QOTncwXjFBYp4u2WgE/edit?usp=sharing) by Ian McCulloh and others. > To convert many different network model results into tidy data frames, see the [broom](https://CRAN.R-project.org/package=broom) package. To convert many different network model results into LaTeX or HTML tables, see the [texreg](https://CRAN.R-project.org/package=texreg) package. - [amen](https://CRAN.R-project.org/package=amen) - Additive and multiplicative effects models for relational data. +- [autograph](https://stocnet.github.io/autograph/) - Automatic plotting of network graphs, measures, and model outputs. - [backbone](https://CRAN.R-project.org/package=backbone) - Provides methods for binarizing a weighted network retaining only significant edges. - [Introduction to the backbone package](https://arxiv.org/abs/1912.12779) - [Bergm](https://CRAN.R-project.org/package=Bergm) - Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: [@BayesianSNA](https://twitter.com/BayesianSNA). @@ -732,6 +733,7 @@ __Note:__ searching for ‘@’ will return all Twitter accounts listed on this - [latentnet](https://CRAN.R-project.org/package=latentnet) - Latent position and cluster models for network objects. - [levelnet](https://github.com/schochastics/levelnet) - Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: `bipartite` R package. - [lpNet](https://www.bioconductor.org/packages/release/bioc/html/lpNet.html) - Linear programming model aimed at infering biological (signalling, gene) networks. +- [manynet](https://stocnet.github.io/manynet/) - Many ways to make, modify, mark, and measure myriad network types. - [mlergm](https://cran.r-project.org/package=mlergm) - Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks. - [multigraph](https://cran.r-project.org/package=multigraph) - Functions to build and visualize all sorts of multigraphs. - [multigraphr](https://cran.r-project.org/package=multigraphr) - Random multigraph models, statistics of multigraph properties, and goodness of fit tests.