ce_estimate_tmle_ate_boot: Causal inference with multiple treatments using TMLE for ATE...

View source: R/ce_estimate_tmle_ate_boot.R

ce_estimate_tmle_ate_bootR Documentation

Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)

Description

Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)

Usage

ce_estimate_tmle_ate_boot(y, x, w, nboots, verbose_boot, ...)

Arguments

y

A numeric vector (0, 1) representing a binary outcome.

x

A dataframe, including all the covariates but not treatments.

w

A numeric vector representing the treatment groups.

nboots

A numeric value representing the number of bootstrap samples.

verbose_boot

A logical value indicating whether to print the progress of nonparametric bootstrap.

...

Other parameters that can be passed through to functions.

Value

A summary of the effect estimates can be obtained with summary function.

References

Hadley Wickham (2019). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.4.0. URL:https://CRAN.R-project.org/package=stringr


CIMTx documentation built on June 24, 2022, 9:07 a.m.