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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.

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:

Reference manual:stdReg2.html ,stdReg2.pdf
Vignettes:Implementing custom and new methods for standardization (source,R code)
Estimation of causal effects using stdReg2 (source,R code)

Downloads:

Package source: stdReg2_1.0.3.tar.gz
Windows binaries: r-devel:stdReg2_1.0.3.zip, r-release:stdReg2_1.0.3.zip, r-oldrel:stdReg2_1.0.3.zip
macOS binaries: r-release (arm64):stdReg2_1.0.3.tgz, r-oldrel (arm64):stdReg2_1.0.3.tgz, r-release (x86_64):stdReg2_1.0.3.tgz, r-oldrel (x86_64):stdReg2_1.0.3.tgz
Old sources: stdReg2 archive

Linking:

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