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).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.1.2 |
rolling linux/jammy R-4.5 | BACprior_2.1.2.tar.gz |
36.5 KiB |
2.1.2 |
rolling linux/noble R-4.5 | BACprior_2.1.2.tar.gz |
36.4 KiB |
2.1.2 |
rolling source/ R- | BACprior_2.1.2.tar.gz |
7.1 KiB |
2.1.2 |
latest linux/jammy R-4.5 | BACprior_2.1.2.tar.gz |
36.5 KiB |
2.1.2 |
latest linux/noble R-4.5 | BACprior_2.1.2.tar.gz |
36.4 KiB |
2.1.2 |
latest source/ R- | BACprior_2.1.2.tar.gz |
7.1 KiB |
2.1.2 |
2026-04-26 source/ R- | BACprior_2.1.2.tar.gz |
7.1 KiB |
2.1.2 |
2026-04-23 source/ R- | BACprior_2.1.2.tar.gz |
7.1 KiB |
2.1.2 |
2026-04-09 windows/windows R-4.5 | BACprior_2.1.2.zip |
39.1 KiB |
2.1.1 |
2025-04-20 source/ R- | BACprior_2.1.1.tar.gz |
6.9 KiB |