Package: psAve
Type: Package
Title: Model-Averaged Propensity Scores Selected by Prognostic-Score
        Balance
Version: 1.0.1
Authors@R: person("Daijiro", "Kabata", email = "daijiro.kabata@port.kobe-u.ac.jp",
    role = c("aut", "cre", "cph"))
Description: Constructs a model-averaged propensity score as a convex
        combination of candidate propensity score models, with mixing
        weights selected on a simplex grid to optimize covariate or
        prognostic-score balance, implementing the method of Kabata,
        Stuart and Shintani (2024) <doi:10.1186/s12874-024-02350-y>.
        Prognostic scores follow Hansen (2008)
        <doi:10.1093/biomet/asn004>: outcome models are fit on
        untreated units only. The resulting score is designed to be
        supplied directly to the matchit() function of 'MatchIt' as a
        distance measure or to the weightit() function of 'WeightIt' as
        a propensity score, with balance assessment via 'cobalt'.
Depends: R (>= 4.1)
Imports: cobalt (>= 4.6.0), stats, utils, graphics
Suggests: MatchIt, WeightIt, SuperLearner, rpart, ranger, xgboost,
        survey, testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
License: GPL (>= 2)
URL: https://kabajiro.github.io/psAve/,
        https://github.com/kabajiro/psAve
BugReports: https://github.com/kabajiro/psAve/issues
Encoding: UTF-8
RoxygenNote: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-10 21:50:20 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: 2026-07-10 19:10:02 UTC
RemoteUrl: https://github.com/cran/psAve
RemoteRef: HEAD
RemoteSha: 450b6f3f3e7b29e3424230a79ec84252ed0cf7bf