R: Regression Standardization for Causal Inference

# Regression Standardization for Causal Inference

## Documentation for package ‘stdReg2’ version 1.0.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

stdReg2-package | stdReg2: Regression Standardization for Causal Inference
parfrailty | Fits shared frailty gamma-Weibull models
plot.std_glm | Plots regression standardization fit
plot.std_surv | Plots regression standardization fit
print.std_custom | Prints summary of regression standardization fit
print.std_glm | Prints summary of regression standardization fit
print.std_surv | Prints summary of regression standardization fit
print.summary.parfrailty | Print method for parametric frailty fits
sandwich | Compute the sandwich variance components from a model fit
standardize | Get standardized estimates using the g-formula with a custom model
standardize_coxph | Regression standardization in Cox proportional hazards models
standardize_gee | Regression standardization in conditional generalized estimating equations
standardize_glm | Get regression standardized estimates from a glm
standardize_glm_dr | Get regression standardized doubly-robust estimates from a glm
standardize_level | Get standardized estimates using the g-formula with and separate models for each exposure level in the data
standardize_parfrailty | Regression standardization in shared frailty gamma-Weibull models
stdReg2 | stdReg2: Regression Standardization for Causal Inference
summary.parfrailty | Summarizes parfrailty fit
tidy.std_custom | Provide tidy output from a std_custom object for use in downstream computations
tidy.std_glm | Provide tidy output from a std_glm object for use in downstream computations
tidy.std_surv | Provide tidy output from a std_surv object for use in downstream computations