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.
Package details |
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Author | Josh Errickson [cre, aut], Josh Wasserman [aut], Mark Fredrickson [ctb], Adam Sales [ctb], Xinhe Wang [ctb], Ben Hansen [aut] |
Maintainer | Josh Errickson <jerrick@umich.edu> |
License | MIT + file LICENSE |
Version | 1.0.0 |
URL | https://github.com/benbhansen-stats/propertee |
Package repository | View on CRAN |
Installation |
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