Estimation of the Proportion of SB Explained by Confounders
Overview
Uses parametric and nonparametric methods to quantify the proportion of the estimated selection bias (SB) explained by each observed confounder when estimating propensity score weighted treatment effects. Parast, L and Griffin, BA (2020). "Quantifying the Bias due to Observed Individual Confounders in Causal Treatment Effect Estimates". Statistics in Medicine, 39(18): 2447- 2476 <doi: 10.1002/sim.8549>.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Layla Parast <parast@austin.utexas.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: person(given = "Layla",
family = "Parast",
role = c("aut", "cre"),
email = "parast@austin.utexas.edu")
as necessary.- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 7 (3 internal)includes a package overview page
- Examples that run
- 100%4 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 71%
Downloads
Dependencies
Installing SBdecomp adds 37 packages (21 with compiled code, 35 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, survey 2.3 MB.
Code & Tests
Datasets
People & History
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
- 1.2Latest
- RR 4.1.0 released · 2021-05-18
- 1.12020-11-25 · diff ↗
- 1.02020-05-12
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-05-12
- Total releases
- 3 / 6 yrs
- License
- GPL
- Minimum R
- ≥ 3.5.0
- Bundled data
- 19 KB / 1 file
- Download size
- 34 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("SBdecomp")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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