BACprior: Choice of Omega in the BAC Algorithm
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).
| Version: |
2.1 |
| Depends: |
mvtnorm, leaps, boot |
| Published: |
2022-05-02 |
| Author: |
Denis Talbot, Geneviève Lefebvre, Juli Atherton |
| Maintainer: |
Denis Talbot <denis.talbot at fmed.ulaval.ca> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
ChangeLog |
| CRAN checks: |
BACprior results |
Documentation:
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