gsbm
0.2.2Estimate Parameters in the Generalized SBM
Overview
Given an adjacency matrix drawn from a Generalized Stochastic Block Model with missing observations, this package robustly estimates the probabilities of connection between nodes and detects outliers nodes, as describes in Gaucher, Klopp and Robin (2019) arXiv:1911.13122.
Install
Health
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- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.2.2Latest
- unarchivedReturned to CRAN2022-09-20
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-02-12check problems were not corrected in time Does not use 'missSBM' conditionally
- RR 4.1.0 released · 2021-05-18
- 0.2.12020-12-09 · diff ↗
- unarchivedReturned to CRAN2020-12-09
- archivedRemoved from CRAN2020-12-03check problems were not corrected in time
- 0.1.12020-07-09 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 0.1.02020-02-28
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2020-02-28
- Total releases
- 4 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 102 KB / 3 files
- Download size
- 207 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("gsbm")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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