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: | 1.0.1 |
Depends: | R (≥ 2.10) |
Imports: | data.table, drgee, generics, survival |
Suggests: | causaldata, AF, knitr, nnet, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-09-13 |
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 |
Reference manual: | stdReg2.pdf |
Vignettes: |
Implementing custom and new methods for standardization (source, R code) Estimation of causal effects using stdReg2 (source, R code) |
Package source: | stdReg2_1.0.1.tar.gz |
Windows binaries: | r-devel: stdReg2_1.0.1.zip, r-release: stdReg2_1.0.1.zip, r-oldrel: stdReg2_1.0.1.zip |
macOS binaries: | r-release (arm64): stdReg2_1.0.1.tgz, r-oldrel (arm64): stdReg2_1.0.1.tgz, r-release (x86_64): stdReg2_1.0.1.tgz, r-oldrel (x86_64): stdReg2_1.0.1.tgz |
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