GoodFitSBM
0.0.1Monte Carlo Goodness-of-Fit Tests for Stochastic Block Models
Overview
Performing goodness-of-fit tests for stochastic block models used to fit network data. Among the three variants discussed in Karwa et al. (2023) doi:10.1093/jrsssb/qkad084, goodness-of-fit test has been performed for the Erdos-Renyi (ER) and Beta versions.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Repository
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/roy-sr-007/goodfitsbm on 2026-08-23.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2024-02-23
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 0.6 KB / 1 file
- Download size
- 594 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("GoodFitSBM")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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For a number measured here: a download total, a coverage figure, an archival date.
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