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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
DOI: 10.32614/CRAN.package.PSAgraphics
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_2.1.3.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:

Please use the canonical form https://CRAN.R-project.org/package=PSAgraphics to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.