Implements Inductive Node-Splitting Cross-Validation (INCV) for selecting the number of communities in stochastic block models. Provides f-fold and random-split node-level cross-validation, along with competing methods including CROISSANT, Edge Cross-Validation (ECV), and Node Cross-Validation (NCV). Supports both SBM and Degree-Corrected Block Models (DCBM), with multiple loss functions (L2, binomial deviance, AUC). Includes network simulation utilities for SBM, RDPG, and latent space models.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | methods, Matrix, RSpectra, ClusterR, irlba, parallel, cluster, Rfast, data.table, IMIFA, stats |
| Suggests: | latentnet, network, rdist, igraph, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-03-12 |
| DOI: | 10.32614/CRAN.package.INCVCommunityDetection |
| Author: | Lin Zhang [aut, cre], Bokai Yang [aut] |
| Maintainer: | Lin Zhang <linzhang1126 at gmail.com> |
| BugReports: | https://github.com/ivylinzhang97/incv-community-detection/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ivylinzhang97/incv-community-detection |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | INCVCommunityDetection results |
| Reference manual: | INCVCommunityDetection.html , INCVCommunityDetection.pdf |
| Vignettes: |
Introduction to INCVCommunityDetection (source, R code) |
| Package source: | INCVCommunityDetection_0.1.0.tar.gz |
| Windows binaries: | r-devel: INCVCommunityDetection_0.1.0.zip, r-release: not available, r-oldrel: INCVCommunityDetection_0.1.0.zip |
| macOS binaries: | r-release (arm64): INCVCommunityDetection_0.1.0.tgz, r-oldrel (arm64): INCVCommunityDetection_0.1.0.tgz, r-release (x86_64): INCVCommunityDetection_0.1.0.tgz, r-oldrel (x86_64): INCVCommunityDetection_0.1.0.tgz |
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