Inductive Node-Splitting Cross-Validation for Community Detection R package INCVCommunityDetection version 0.1.0 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. Software 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 Lin Zhang <linzhang1126@gmail.com> Comprehensive R Archive Network (CRAN) Lin Zhang [aut, cre], Bokai Yang [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=INCVCommunityDetection/LICENSE) 2026-03-12 application/tgz https://CRAN.R-project.org/package=INCVCommunityDetection doi:10.32614/CRAN.package.INCVCommunityDetection