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'.
| Version: | 1.0.1 |
| 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 |
| Published: | 2026-07-10 |
| DOI: | 10.32614/CRAN.package.psAve (may not be active yet) |
| Author: | Daijiro Kabata [aut, cre, cph] |
| Maintainer: | Daijiro Kabata <daijiro.kabata at port.kobe-u.ac.jp> |
| BugReports: | https://github.com/kabajiro/psAve/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://kabajiro.github.io/psAve/, https://github.com/kabajiro/psAve |
| NeedsCompilation: | no |
| Citation: | psAve citation info |
| Materials: | README, NEWS |
| CRAN checks: | psAve results |
| Reference manual: | psAve.html , psAve.pdf |
| Vignettes: |
Method details and design decisions (source, R code) Getting Started with psAve (source, R code) Reproducing the published IPW workflow (source, R code) |
| Package source: | psAve_1.0.1.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): psAve_1.0.1.tgz, r-oldrel (arm64): psAve_1.0.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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