SelectBoost.quantile
0.3.1'SelectBoost'-Style Variable Selection for Quantile Regression
Overview
A 'SelectBoost'-inspired workflow for sparse quantile regression. The package builds correlation neighborhoods, perturbs correlated predictors with a directional sampler inspired by the original 'SelectBoost' internals, refits penalized quantile regression models on the perturbed designs, and aggregates variable-selection frequencies across a path of correlation thresholds.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-145 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 84%
- Return-value docs
- 100%
- References docs
- 0%
Downloads
Repository
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Repository practices
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Checks run against github.com/fbertran/selectboost.quantile on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.3.1Latest2026-04-13 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-13
- Total releases
- 1 / 1 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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