psAve: Model-Averaged Propensity Scores Selected by Prognostic-Score Balance

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
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

Documentation:

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)

Downloads:

Package source:	psAve_1.0.1.tar.gz
Windows binaries:	r-devel: psAve_1.0.1.zip, r-release: psAve_1.0.1.zip, r-oldrel: psAve_1.0.1.zip
macOS binaries:	r-release (arm64): psAve_1.0.1.tgz, r-oldrel (arm64): psAve_1.0.1.tgz, r-release (x86_64): psAve_1.0.1.tgz, r-oldrel (x86_64): psAve_1.0.1.tgz

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