Package index • stdReg2

Estimation

Start with one of these for your model type.

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

Helper functions and utilities

parfrailty(): Fits shared frailty gamma-Weibull models

plot(<std_glm>): Plots regression standardization fit

plot(<std_surv>): Plots regression standardization fit

print(<std_surv>) print(<std_glm>) print(<std_custom>): 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

stdReg2 stdReg2-package: 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