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propertee: Standardization-Based Effect Estimation with Optional PriorCovariance Adjustment

The Prognostic Regression Offsets with Propagation of ERrors (for Treatment Effect Estimation) package facilitates direct adjustment for experiments and observational studies that is compatible with a range of study designs and covariance adjustment strategies. It uses explicit specification of clusters, blocks and treatment allocations to furnish probability of assignment-based weights targeting any of several average treatment effect parameters, and for standard error calculations reflecting these design parameters. For covariance adjustment of its Hajek and (one-way) fixed effects estimates, it enables offsetting the outcome against predictions from a dedicated covariance model, with standard error calculations propagating error as appropriate from the covariance model.

Version:1.0.3
Depends:R (≥ 4.1.0)
Imports:stats, methods,sandwich
Suggests:knitr,rmarkdown,testthat (≥ 3.0.0),multcomp,MASS
Enhances:robustbase
Published:2025-10-28
DOI:10.32614/CRAN.package.propertee
Author:Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut]
Maintainer:Josh Errickson <jerrick at umich.edu>
BugReports:https://github.com/benbhansen-stats/propertee/issues
License:MIT + fileLICENSE
URL:https://github.com/benbhansen-stats/propertee
NeedsCompilation:no
Materials:NEWS
CRAN checks:propertee results

Documentation:

Reference manual:propertee.html ,propertee.pdf
Vignettes:Regression Discontinuity Design (source,R code)
Introduction to propertee (source,R code)
Non-binary Treatment Specification (source,R code)

Downloads:

Package source: propertee_1.0.3.tar.gz
Windows binaries: r-devel:propertee_1.0.3.zip, r-release:propertee_1.0.3.zip, r-oldrel:propertee_1.0.3.zip
macOS binaries: r-release (arm64):propertee_1.0.3.tgz, r-oldrel (arm64):propertee_1.0.3.tgz, r-release (x86_64):propertee_1.0.3.tgz, r-oldrel (x86_64):propertee_1.0.3.tgz
Old sources: propertee archive

Linking:

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