BACprior
2.1.2Choice of Omega in the BAC Algorithm
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Overview
About
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).
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- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 1.0 min · r-oldrel-macos-x86_64
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- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
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- Examples that run
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- References docs
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Dependencies
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2 external dependencies (excludes base and recommended)
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People (3)
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Authors (3)
Package Timeline
6 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 2.1.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.1.12023-10-10 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 2.12022-05-02 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- RR 3.2.0 released · 2015-04-16
- 2.02014-11-20 · diff ↗
Show 5 earlier events
- RR 3.1.0 released · 2014-04-10
- RR 3.0.0 released · 2013-04-03
- 1.2.12013-02-16 · diff ↗
- 1.22013-01-07
- RR 2.15.0 released · 2012-03-30
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Package metadata
- First published
- 2013-01-07
- Total releases
- 6 / 13 yrs
- License
- GPL (>= 2) OSI
- Download size
- 7.1 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet