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stdReg2: Regression Standardization for Causal Inference
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.
Getting started
Browse package contents
Package details |
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| Author | Michael C Sachs [aut, cre], Arvid Sjölander [aut], Erin E Gabriel [aut], Johan Sebastian Ohlendorff [aut], Adam Brand [aut] |
| Maintainer | Michael C Sachs <sachsmc@gmail.com> |
| License | AGPL (>= 3) |
| Version | 1.0.3 |
| URL | https://sachsmc.github.io/stdReg2/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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