stdReg2: Regression Standardization for Causal Inference (original) (raw)
Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) <doi:10.1007/s10654-016-0157-3>. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.
| Version: | 1.0.3 |
|---|---|
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table, drgee, generics, survival |
| Suggests: | causaldata, AF, knitr, nnet, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2025-02-28 |
| DOI: | 10.32614/CRAN.package.stdReg2 |
| Author: | Michael C Sachs [aut, cre], Arvid Sjölander [aut], Erin E Gabriel [aut], Johan Sebastian Ohlendorff [aut], Adam Brand [aut] |
| Maintainer: | Michael C Sachs |
| BugReports: | https://github.com/sachsmc/stdReg2/issues/ |
| License: | AGPL (≥ 3) |
| URL: | https://sachsmc.github.io/stdReg2/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | stdReg2 results |
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