SpNMF
0.1.1Supervised NMF
Overview
Non-negative Matrix Factorization(NMF) is a powerful tool for identifying the key features of microbial communities and a dimension-reduction method. When we are interested in the differences between the structures of two groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney (2017),doi:10.1186/s40168-017-0323-1) provides a better way to do this, while retaining all the advantages of NMF -- such as interpretability, and being based on a simple biological intuition.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 13.0 median / 14 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
3 0 exported
Complexity
9.3 avg / 14 max
Call network
3 nodes / 1 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
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
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.1Latest
- 0.1.02018-10-01
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-10-01
- Total releases
- 2 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.2.3
- Bundled data
- 147 KB / 1 file
- Download size
- 155 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet