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:	2.1.3
Depends:	R (≥ 2.14.0), rpart
Imports:	graphics, grDevices, stats
Published:	2024-03-05
Author:	James Helmreich [aut], Robert Pruzek [aut], Jason Bryer [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_2.1.3.tar.gz
Windows binaries:	r-devel: PSAgraphics_2.1.3.zip, r-release: PSAgraphics_2.1.3.zip, r-oldrel: PSAgraphics_2.1.3.zip
macOS binaries:	r-release (arm64): PSAgraphics_2.1.3.tgz, r-oldrel (arm64): PSAgraphics_2.1.3.tgz, r-release (x86_64): PSAgraphics_2.1.3.tgz, r-oldrel (x86_64): PSAgraphics_2.1.3.tgz
Old sources:	PSAgraphics archive

Reverse dependencies:

Reverse depends:	PSAboot
Reverse imports:	multilevelPSA, TriMatch

Linking:

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