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 <sachsmc at gmail.com> 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=stdReg2 to link to this page.
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