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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) <doi:10.48550/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: | 1.0 |
| Imports: | Matrix, stats, methods, randnet, RSpectra, irlba, data.tree, data.table, stringr, dendextend |
| Published: | 2024-02-02 |
| Author: | Tianxi Li [aut, cre], Lihua Lei [aut], Sharmodeep Bhattacharyya [aut], Purna Sarkar [aut], Peter Bickel [aut], Elizeveta Levina [aut] |
| Maintainer: | Tianxi Li <tianxili at umn.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | HCD results |
| Reference manual: | HCD.pdf |
| Package source: | HCD_1.0.tar.gz |
| Windows binaries: | r-devel: HCD_1.0.zip, r-release: HCD_1.0.zip, r-oldrel: HCD_1.0.zip |
| macOS binaries: | r-release (arm64): HCD_1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): HCD_1.0.tgz, r-oldrel (x86_64): HCD_1.0.tgz |
| Old sources: | HCD archive |
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