Package: INCVCommunityDetection
Type: Package
Title: Inductive Node-Splitting Cross-Validation for Community
        Detection
Version: 0.1.0
Authors@R: c(
    person("Lin", "Zhang", email = "linzhang1126@gmail.com",
           role = c("aut", "cre")),
    person("Bokai", "Yang", role = "aut"))
Description: 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.
URL: https://github.com/ivylinzhang97/incv-community-detection
BugReports: https://github.com/ivylinzhang97/incv-community-detection/issues
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
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
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-07 18:02:22 UTC; linzhang
Author: Lin Zhang [aut, cre],
  Bokai Yang [aut]
Maintainer: Lin Zhang <linzhang1126@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-12 08:10:15 UTC
Built: R 4.6.0; ; 2026-04-26 08:10:22 UTC; unix
