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INCVCommunityDetection

0.1.0Package record

Inductive Node-Splitting Cross-Validation for Community Detection

0packages depend
1.7Kdownloads / year
46.6%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.1.0
  • Initial CRAN release.
  • Implements Inductive Node-Splitting Cross-Validation (INCV) with nscv.f.fold() and nscv.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

CRAN checks
13OK
Slowest check: 3.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK3 OK2026-03-13
Advisories

none known

Documentation

In release 0.1.0
README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
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

1.7K
CRAN downloads in the past year
Rank #18,240 · ~5/day · ~139/mo
Daily download trend is not available in this view yet.
26430 days
70790 days
1.7K1 year
Compare downloads with other packages →
Also on45 r2u4 autocran

Repository

0Stars
1Forks
0Open issues
4Open PRs
0Releases
10Commits
1Commit identities
10 commits · Last activity 2026-03-08
Responsiveness
not measured

Forks over time

2026-03-08 · 12026-07-07 · 1
PracticesBeta

Checks run against github.com/ivylinzhang97/incv-community-detection on 2026-10-18.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Cursorfirst seen 2026-03-07
    Commits: at least 10 crediting it in the message
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.5.0
Imports (11)
methodsMatrixRSpectraClusterRirlbaparallelclusterRfastdata.tableIMIFAstats
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-12 · current release
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("INCVCommunityDetection")
Zhang, L., & Yang, B. (2026). INCVCommunityDetection: Inductive Node-Splitting Cross-Validation for Community Detection (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.INCVCommunityDetection

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for INCVCommunityDetection version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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