tipr: R tools for tipping point sensitivity analyses

Authors: Lucy D’Agostino McGowan, Malcolm Barrett License: MIT

Installation

Install the CRAN version

install.packages("tipr")

Or install the development version from GitHub:

# install.packages(devtools)
devtools::install_github("r-causal/tipr")

library(tipr)

Usage

After fitting your model, you can determine the unmeasured confounder needed to tip your analysis. This unmeasured confounder is determined by two quantities, the relationship between the exposure and the unmeasured confounder (if the unmeasured confounder is continuous, this is indicated with exposure_confounder_effect, if binary, with exposed_confounder_prev and unexposed_confounder_prev), and the relationship between the unmeasured confounder and outcome confounder_outcome_effect. Using this