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Update R resources in README.md #137

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Expand Up @@ -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).
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- [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.
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