boostrq
1.0.0Boosting Regression Quantiles
Overview
Boosting Regression Quantiles is a component-wise boosting algorithm, that embeds all boosting steps in the well-established framework of quantile regression. It is initialized with the corresponding quantile, uses a quantile-specific learning rate, and uses quantile regression as its base learner. The package implements this algorithm and allows cross-validation and stability selection.
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
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
Stars over time
Issues over time
Repository practices
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/stefanlinner/boostrq on 2026-07-19.
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 1.0 median / 37 max
- Test cases
- 5 / 0.25 per code line
Test coverage
Line coverage
52%
Expression
50.3%
Tests / Examples
52.2% / 66% ex
Functions
18 2 exported
Complexity
3.8 avg / 37 max
Call network
18 nodes / 2 edges
Call graph
Open call graph →Lowest coverage
18 functions| Function | Cyclo | Coverage |
|---|---|---|
| coef.boostrq | 2 | 0% |
| cvrisk.boostrq | 5 | 0% |
| fitted.boostrq | 2 | 0% |
| mstop.boostrq | 1 | 0% |
| predict.boostrq | 1 | 0% |
| print.boostrq | 1 | 0% |
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2024-03-05
- Total releases
- 1 / 2 yrs
- License
- GPL (>= 2) OSI
- Download size
- 19 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet