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stdReg2  

Regression Standardization for Causal Inference
View on CRAN: Click here


Download and install stdReg2 package within the R console
Install from CRAN:
install.packages("stdReg2")

Install from Github:
library("remotes")
install_github("cran/stdReg2")

Install by package version:
library("remotes")
install_version("stdReg2", "1.0.1")



Attach the package and use:
library("stdReg2")
Maintained by
Michael C Sachs
[Scholar Profile | Author Map]
First Published: 2024-09-13
Latest Update: 2024-09-13
Description:
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.
How to cite:
Michael C Sachs (2024). stdReg2: Regression Standardization for Causal Inference. R package version 1.0.1, https://cran.r-project.org/web/packages/stdReg2. Accessed 12 Feb. 2025.
Previous versions and publish date:
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Complete documentation for stdReg2
Functions, R codes and Examples using the stdReg2 R package
Full stdReg2 package functions and examples
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