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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "INCVCommunityDetection" in publications use:'
type: software
license: MIT
title: 'INCVCommunityDetection: Inductive Node-Splitting Cross-Validation for Community
  Detection'
version: 0.1.0
doi: 10.32614/CRAN.package.INCVCommunityDetection
abstract: 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.
authors:
- family-names: Zhang
  given-names: Lin
  email: linzhang1126@gmail.com
- family-names: Yang
  given-names: Bokai
repository: https://ivylinzhang97.r-universe.dev
repository-code: https://github.com/ivylinzhang97/incv-community-detection
commit: 829a0cf1002e944c7a68326c42c884c064c1c95a
url: https://github.com/ivylinzhang97/incv-community-detection
date-released: '2026-03-08'
contact:
- family-names: Zhang
  given-names: Lin
  email: linzhang1126@gmail.com