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 |
| 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) |
| 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 |
Please use the canonical formhttps://CRAN.R-project.org/package=properteeto link to this page.