rhcoclust
2.0.0Robust Hierarchical Co-Clustering to Identify Significant Co-Cluster
Overview
Here we performs robust hierarchical co-clustering between row and column entities of a data matrix in absence and presence of outlying observations. It can be used to explore important co-clusters consisting of important samples and their regulatory significant features. Please see Hasan, Badsha and Mollah (2020) <doi:10.1101/2020.05.13.094946>.
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- OK2026-06-0813 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-06-0712 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code & Tests
Test coverage
Line coverage
–
Expression
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Tests / Examples
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Functions
6 6 exported
Complexity
6 avg / 16 max
Call network
6 nodes / 1 edges
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People & History
3 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
- 2.0.0Latest
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1.02021-02-26 · diff ↗
- 1.0.02020-12-08
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-12-08
- Total releases
- 3 / 6 yrs
- License
- GPL (>= 2) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet