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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | stdReg2_1.0.3.tar.gz |
270.2 KiB |
1.0.3 |
rolling linux/noble R-4.5 | stdReg2_1.0.3.tar.gz |
270.1 KiB |
1.0.3 |
rolling source/ R- | stdReg2_1.0.3.tar.gz |
95.2 KiB |
1.0.3 |
latest linux/jammy R-4.5 | stdReg2_1.0.3.tar.gz |
270.2 KiB |
1.0.3 |
latest linux/noble R-4.5 | stdReg2_1.0.3.tar.gz |
270.1 KiB |
1.0.3 |
latest source/ R- | stdReg2_1.0.3.tar.gz |
95.2 KiB |
1.0.3 |
2026-04-26 source/ R- | stdReg2_1.0.3.tar.gz |
95.2 KiB |
1.0.3 |
2026-04-23 source/ R- | stdReg2_1.0.3.tar.gz |
95.2 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | stdReg2_1.0.3.zip |
276.2 KiB |
1.0.3 |
2025-04-20 source/ R- | stdReg2_1.0.3.tar.gz |
95.2 KiB |