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.
- Version1.0.1
- R versionunknown
- LicenseAGPL (≥ 3)
- Needs compilation?No
- Last release09/13/2024
Documentation
Team
Michael C Sachs
MaintainerShow author detailsErin E Gabriel
Show author detailsRolesAuthorArvid Sjölander
Show author detailsRolesAuthorJohan Sebastian Ohlendorff
Show author detailsRolesAuthorAdam Brand
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 249 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 9 times.
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Last 365 days
This package has been downloaded 1,498 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Mar 01, 2025 with 32 downloads.
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Dependencies
- Imports4 packages
- Suggests6 packages