oalasso
1.0.0Outcome-Adaptive Lasso Propensity Scores
Overview
Estimates propensity scores by the outcome-adaptive lasso of Shortreed and Ertefaie (2017) doi:10.1111/biom.12679 and the generalized outcome-adaptive lasso (GOAL) of Balde, Yang and Lefebvre (2023) doi:10.1111/biom.13683, using 'glmnet' with an exact penalty-scale correction so that the published objectives and tuning grids are reproduced. Tuning is by the weighted absolute mean difference balance criterion. The resulting score is designed to be supplied directly to the matchit() function of 'MatchIt' as a distance measure, to the weightit() function of 'WeightIt' as a propensity score, or to the psave() function of 'psAve' as an appended candidate.
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
- OK2026-07-227 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Repository
Releases over time
Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/kabajiro/oalasso on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 1.0.0Latest2026-07-21 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-07-21
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.1
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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