INCVCommunityDetection: Inductive Node-Splitting Cross-Validation for Community Detection

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 (may not be active yet)
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

Documentation:

Reference manual:	INCVCommunityDetection.html , INCVCommunityDetection.pdf
Vignettes:	Introduction to INCVCommunityDetection (source, R code)

Downloads:

Package source:	INCVCommunityDetection_0.1.0.tar.gz
Windows binaries:	r-devel: not available, 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

Linking:

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