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 282 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 4 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,388 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Mar 01, 2025 with 32 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports4 packages
- Suggests6 packages