StochBlock
0.1.5Stochastic Blockmodeling of One-Mode and Linked Networks
Overview
Stochastic blockmodeling of one-mode and linked networks as presented in Škulj and Žiberna (2022) doi:10.1016/j.socnet.2022.02.001. The optimization is done via CEM (Classification Expectation Maximization) algorithm that can be initialized by random partitions or the results of k-means algorithm. The development of this package is financially supported by the Slovenian Research Agency (https://www.arrs.si/) within the research programs P5-0168 and the research projects J7-8279 (Blockmodeling multilevel and temporal networks) and J5-2557 (Comparison and evaluation of different approaches to blockmodeling dynamic networks by simulations with application to Slovenian co-authorship networks).
Install
Health
- OK2026-04-2214 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1813 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 95%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.5Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.22023-01-24
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2023-01-24
- Total releases
- 2 / 3 yrs
- License
- GPL (>= 2) OSI
- Download size
- 33 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet