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: 2026-07-21 14:50:11 UTC; root
Author: Daijiro Kabata [aut, cre, cph]
Maintainer: Daijiro Kabata <daijiro.kabata@port.kobe-u.ac.jp>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-21 10:30:14 UTC
RemoteUrl: https://github.com/cran/oalasso
RemoteRef: HEAD
RemoteSha: cf681fb970171c3b26df611ec9b5db68ca40719f