Estimate Causal Effects with Borrowing Between Data Sources
Overview
Estimate population average treatment effects from a primary data source with borrowing from supplemental sources. Causal estimation is done with either a Bayesian linear model or with Bayesian additive regression trees (BART) to adjust for confounding. Borrowing is done with multisource exchangeability models (MEMs). For information on BART, see Chipman, George, & McCulloch (2010) doi:10.1214/09-AOAS285. For information on MEMs, see Kaizer, Koopmeiners, & Hobbs (2018) doi:10.1093/biostatistics/kxx031.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Jeffrey A. Boatman <jeffrey.boatman@gmail.com>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Jeffrey", "A."),
family = "Boatman",
role = c("aut", "cre"),
email = "jeffrey.boatman@gmail.com"),
person(given = c("David", "M."),
family = "Vock",
role = "aut"),
person(given = c("Joseph", "S."),
family = "Koopmeiners",
role = "aut"))
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-04-22
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 3
- Examples that run
- 100%3 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 50%
- Help pages citing references
- 67%
Downloads
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Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.2.0Latest
- RR 4.0.0 released · 2020-04-24
- 0.1.12019-10-30 · diff ↗
- 0.1.02019-07-19
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-07-19
- Total releases
- 3 / 7 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.1 KB / 1 file
- Download size
- 94 KB
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