From a0567f930c8aba8478f17a10a3c8782ac90bcffd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Fran=C3=A7ois=20Briatte?= Date: Sun, 21 Apr 2019 09:55:14 +0200 Subject: [PATCH] Harmonize "See also" crossrefs --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 6b3b4de..73e996a 100755 --- a/README.md +++ b/README.md @@ -648,7 +648,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes - [GERGM](https://CRAN.R-project.org/package=GERGM) - Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM). - [geomnet](https://CRAN.R-project.org/package=geomnet) - Single-geometry approach to network visualization with ggplot2. - [ggnetwork](https://CRAN.R-project.org/package=ggnetwork) - Multiple-geometries approach to plot network objects with ggplot2. -- [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2 (see also `tidygraph` further down). +- [ggraph](https://CRAN.R-project.org/package=ggraph) - Grammar of graph graphics built in the spirit of ggplot2. See also: `tidygraph` R package. - [graphlayouts](https://cran.r-project.org/package=graphlayouts) - Layout algorithms based on the concept of [stress majorization](https://doi.org/10.1007/978-3-540-31843-9_25). - [Introducing graphlayouts with Game of Thrones](http://blog.schochastics.net/post/introducing-graphlayouts-with-got/) - [hergm](https://CRAN.R-project.org/package=hergm) - Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence. @@ -690,7 +690,7 @@ Inspired by [Awesome Deep Learning](https://github.com/ChristosChristofidis/awes - [Guides for Using the statnet Package](http://www.melissaclarkson.com/resources/R_guides/) (2010). - [Modeling Valued Networks with statnet](https://statnet.org/trac/raw-attachment/wiki/Sunbelt2013/Valued.pdf) (2013). - [tergm](https://CRAN.R-project.org/package=tergm) - Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM). -- [tidygraph](https://CRAN.R-project.org/package=tidygraph) - 'Tidy' approach to building graph structures. +- [tidygraph](https://CRAN.R-project.org/package=tidygraph) - 'Tidy' approach to building graph structures. See also: `ggraph` R package. - [Introducing tidygraph](https://www.data-imaginist.com/2017/introducing-tidygraph/) - [Tidying up your network analysis with tidygraph and ggraph](https://www.rstudio.com/resources/videos/tidying-up-your-network-analysis-with-tidygraph-and-ggraph/) - [tnam](https://CRAN.R-project.org/package=tnam) - Tools to fit temporal and cross-sectional network autocorrelation models (TNAM).