Package: oalasso
Type: Package
Title: Outcome-Adaptive Lasso Propensity Scores
Version: 1.0.0
Authors@R: person("Daijiro", "Kabata", email = "daijiro.kabata@port.kobe-u.ac.jp",
    role = c("aut", "cre", "cph"))
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.
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
VignetteBuilder: knitr
Config/testthat/edition: 3
License: GPL (>= 2)
URL: https://kabajiro.github.io/oalasso/,
        https://github.com/kabajiro/oalasso
BugReports: https://github.com/kabajiro/oalasso/issues
Encoding: UTF-8
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-12 02:00:17 UTC; daiji
Author: Daijiro Kabata [aut, cre, cph]
Maintainer: Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp>
Repository: CRAN
Date/Publication: 2026-07-21 10:30:14 UTC
Built: R 4.6.0; ; 2026-07-21 12:11:28 UTC; unix
