ranktreeEnsemble
0.24Ensemble Models of Rank-Based Trees with Extracted Decision Rules
Overview
Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction. Decision rules can be extracted from trees.
Install
Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- 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
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Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 32 max
- Documented parameters
- 99%
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
22 7 exported
Complexity
7.7 avg / 32 max
Call network
22 nodes / 17 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
4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-08-08
- Total releases
- 4 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 545 KB / 1 file
- Download size
- 566 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet