Hierarchical community detection on networks by a recursive spectral partitioning strategy, which is shown to be effective and efficient in Li, Lei, Bhattacharyya, Sarkar, Bickel, and Levina (2018) <arXiv:1810.01509>. The package also includes a data generating function for a binary tree stochastic block model, a special case of stochastic block model that admits hierarchy between communities.
| Version: | 0.1 |
| Imports: | Matrix, stats, methods, randnet, RSpectra, irlba, data.tree, data.table, stringr, dendextend |
| Published: | 2019-08-24 |
| Author: | Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter Bickel, and Elizaveta Levina |
| Maintainer: | Tianxi Li <tianxili at virginia.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | HCD results |
| Reference manual: | HCD.pdf |
| Package source: | HCD_0.1.tar.gz |
| Windows binaries: | r-devel: HCD_0.1.zip, r-release: HCD_0.1.zip, r-oldrel: HCD_0.1.zip |
| macOS binaries: | r-release: HCD_0.1.tgz, r-oldrel: HCD_0.1.tgz |
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