oalasso: Outcome-Adaptive Lasso Propensity Scores

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.

Version:	1.0.0
Depends:	R (≥ 4.1)
Imports:	glmnet (≥ 4.1-2), cobalt (≥ 4.6.0), stats, utils, graphics
Suggests:	MatchIt, WeightIt, psAve, rpart, testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-07-21
DOI:	10.32614/CRAN.package.oalasso (may not be active yet)
Author:	Daijiro Kabata [aut, cre, cph]
Maintainer:	Daijiro Kabata <daijiro.kabata at port.kobe-u.ac.jp>
BugReports:	https://github.com/kabajiro/oalasso/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://kabajiro.github.io/oalasso/, https://github.com/kabajiro/oalasso
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	oalasso results

Documentation:

Reference manual:	oalasso.html , oalasso.pdf
Vignettes:	Method details and provenance (source, R code) Getting Started with oalasso (source, R code) Using oalasso with psAve (source, R code)

Downloads:

Package source:	oalasso_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): oalasso_1.0.0.tgz, r-oldrel (arm64): oalasso_1.0.0.tgz, r-release (x86_64): oalasso_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

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