Outcome-Adaptive Lasso Propensity Scores R package oalasso version 1.0.0 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. Software 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 Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp> Comprehensive R Archive Network (CRAN) Daijiro Kabata [aut, cre, cph] GPL (>= 2) 2026-07-21 application/tgz https://CRAN.R-project.org/package=oalasso doi:10.32614/CRAN.package.oalasso