DBNMFrank
0.1.0Rank Selection for Non-Negative Matrix Factorization
Overview
Given the non-negative data and its distribution, the package estimates the rank parameter for Non-negative Matrix Factorization. The method is based on hypothesis testing, using a deconvolved bootstrap distribution to assess the significance level accurately despite the large amount of optimization error. The distribution of the non-negative data can be either Normal distributed or Poisson distributed.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Repository stars, issues, and contributor activity are not tracked yet.
Dependencies
Nothing depends on this yet.
Code & Tests
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
4 1 exported
Complexity
4.5 avg / 9 max
Call network
4 nodes / 3 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
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2022-06-03
- Total releases
- 1 / 4 yrs
- License
- GPL (>= 3) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet