Learn R Programming

BACprior (version 2.1.1)

Choice of Omega in the BAC Algorithm

Description

The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012) can be used to estimate the causal effect of a continuous exposure on a continuous outcome. This package provides an approximate sensitivity analysis of BAC with regards to the hyperparameter omega. BACprior also provides functions to guide the user in their choice of an appropriate omega value. The method is based on Lefebvre, Atherton and Talbot (2014).

Copy Link

Version

Install

install.packages('BACprior')

Monthly Downloads

252

Version

2.1.1

License

GPL (>= 2)

Maintainer

Denis Talbot

Last Published

October 10th, 2023

Functions in BACprior (2.1.1)

BACprior-package

Choice of the Hyperparameter Omega in the Bayesian Adjustment for Confounding (BAC) Algorithm
BACprior.CV

A Cross-Validation Procedure for the Choice of the Omega Value in the Bayesian Adjustment for Confounding Algorithm.
BACprior.boot

A Bootstrap Procedure to Guide the Choice of Omega in the Bayesian Adjustment for Confounding Algorithm.
BACprior.lm

Sensitivity of the Bayesian Adjustment for Confounding Algorithm to the Value of the Hyperparameter Omega When the Outcome and the Exposure Are Continuous Variables.