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oalasso  

Outcome-Adaptive Lasso Propensity Scores
View on CRAN: Click here


Download and install oalasso package within the R console
Install from CRAN:
install.packages("oalasso")

Install from Github:
library("remotes")
install_github("cran/oalasso")

Install by package version:
library("remotes")
install_version("oalasso", "1.0.0")



Attach the package and use:
library("oalasso")
Maintained by
Daijiro Kabata
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-21
Latest Update: 2026-07-21
Description:
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.
How to cite:
Daijiro Kabata (2026). oalasso: Outcome-Adaptive Lasso Propensity Scores. R package version 1.0.0, https://cran.r-project.org/web/packages/oalasso. Accessed 03 Oct. 2026.
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