causens_monte_carlo: Monte Carlo sensitivity analysis for causal effects

In causens: Perform Causal Sensitivity Analyses Using Various Statistical Methods

Monte Carlo sensitivity analysis for causal effects

Description

This function performs a Monte Carlo sensitivity analysis for causal effects.

Usage

causens_monte_carlo(outcome, exposure, confounders, data, ...)

Arguments

outcome	The name of the outcome variable in the data frame.
exposure	The name of the exposure variable in the data frame.
confounders	The name of the confounders in the data frame.
data	A data frame containing the exposure, outcome, and confounder variables.
...	Additional arguments to be passed to the function.

Value

The estimated causal effect.

causens documentation built on June 8, 2025, 10:03 a.m.