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propertee  

Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment
View on CRAN: Click here


Download and install propertee package within the R console
Install from CRAN:
install.packages("propertee")

Install from Github:
library("remotes")
install_github("cran/propertee")

Install by package version:
library("remotes")
install_version("propertee", "1.0.6")



Attach the package and use:
library("propertee")
Maintained by
Josh Errickson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-08-26
Latest Update: 2025-08-26
Description:
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.
How to cite:
Josh Errickson (2025). propertee: Standardization-Based Effect Estimation with Optional Prior Covariance Adjustment. R package version 1.0.6, https://cran.r-project.org/web/packages/propertee. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-20 14:21), 1.0.0 (2025-08-21 22:12), 1.0.1 (2025-08-26 10:30), 1.0.3 (2025-10-28 17:00), 1.0.4 (2026-01-23 19:50), 1.0.5 (2026-04-02 23:10)
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