Inductive Node-Splitting Cross-Validation for Community Detection
Overview
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.
- Initial CRAN release.
- Implements Inductive Node-Splitting Cross-Validation (INCV) with
nscv.f.fold()andnscv.random.split(). - Includes competing methods: CROISSANT, Edge Cross-Validation (ECV), and Node Cross-Validation (NCV).
- Network simulation utilities for SBM, DCBM, RDPG, and latent space models.
- Multiple loss functions: L2, binomial deviance, AUC.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK3 OK2026-03-13
Documentation
- Help pages
- 30 (4 internal)includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 15%
- Documented parameters
- 95%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Forks over time
PRs over time
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- Cursorfirst seen 2026-03-07Commits: at least 10 crediting it in the message
Dependencies
Installing INCVCommunityDetection adds 34 packages (22 with compiled code, 46 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-12 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-12
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 130 KB
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