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ggNetView 0.1.0

Initial CRAN release

  • Initial submission of ggNetView to CRAN.
  • Provides a unified, reproducible framework for analyzing and visualizing complex biological, ecological, and microbial association networks.
  • Includes tools for building correlation and co-occurrence networks via WGCNA, SpiecEasi, SparCC, and standard correlation methods (Pearson, Spearman, Kendall).
  • Computes node-level and network-level topological metrics, including robustness analyses.
  • Supports module-level analyses (modularity detection, Zi-Pi classification, sample-level subgraph topology).
  • Offers a large family of deterministic layout generators built on ggraph and ggplot2 (bipartite, tripartite, quadripartite, pentapartite, circular-modules, petal, diamond, heart, star, and more), all with reproducible seeds.
  • Ships 18 example datasets covering OTU tables, taxonomy tables, environmental metadata, PPI networks, and modularity examples.