PSAgraphics: Propensity Score Analysis Graphics

A collection of functions that primarily produce graphics to aid in a Propensity Score Analysis (PSA). Functions include: cat.psa and box.psa to test balance within strata of categorical and quantitative covariates, circ.psa for a representation of the estimated effect size by stratum, loess.psa that provides a graphic and loess based effect size estimate, and various balance functions that provide measures of the balance achieved via a PSA in a categorical covariate.

Version: 2.1.2
Depends: R (≥ 2.14.0), rpart
Imports: graphics, grDevices, stats
Published: 2023-03-21
Author: James Helmreich [aut], Robert Pruzek [aut], Jason Bryer ORCID iD [ctb, cre], KuangNan Xiong [ctb]
Maintainer: Jason Bryer <jason at bryer.org>
BugReports: https://github.com/jbryer/PSAgraphics/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://jbryer.github.io/PSAgraphics/
NeedsCompilation: no
Citation: PSAgraphics citation info
Materials: README NEWS
CRAN checks: PSAgraphics results

Documentation:

Reference manual: PSAgraphics.pdf

Downloads:

Package source: PSAgraphics_2.1.2.tar.gz
Windows binaries: r-devel: PSAgraphics_2.1.2.zip, r-release: PSAgraphics_2.1.2.zip, r-oldrel: PSAgraphics_2.1.2.zip
macOS binaries: r-release (arm64): PSAgraphics_2.1.2.tgz, r-oldrel (arm64): PSAgraphics_2.1.2.tgz, r-release (x86_64): PSAgraphics_2.1.2.tgz
Old sources: PSAgraphics archive

Reverse dependencies:

Reverse depends: PSAboot
Reverse imports: multilevelPSA, TriMatch

Linking:

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