bpbounds: Nonparametric Bounds for the Average Causal Effect Due to Balke
and Pearl and Extensions
Implementation of the nonparametric bounds for the average
causal effect under an instrumental variable model by Balke and Pearl
(Bounds on Treatment Effects from Studies with Imperfect Compliance,
JASA, 1997, 92, 439, 1171-1176, <doi:10.2307/2965583>). The package
can calculate bounds for a binary outcome, a binary
treatment/phenotype, and an instrument with either 2 or 3 categories.
The package implements bounds for situations where these 3 variables
are measured in the same dataset (trivariate data) or where the
outcome and instrument are measured in one study and the
treatment/phenotype and instrument are measured in another study
(bivariate data).
| Version: |
0.1.6 |
| Depends: |
R (≥ 4.0.0) |
| Suggests: |
dplyr, knitr, rmarkdown, shiny, testthat, tidyr |
| Published: |
2024-06-13 |
| DOI: |
10.32614/CRAN.package.bpbounds |
| Author: |
Tom Palmer  [aut,
cre],
Roland Ramsahai
[aut],
Vanessa Didelez
[aut],
Nuala Sheehan
[aut] |
| Maintainer: |
Tom Palmer <remlapmot at hotmail.com> |
| BugReports: |
https://github.com/remlapmot/bpbounds/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/remlapmot/bpbounds,
https://remlapmot.github.io/bpbounds/ |
| NeedsCompilation: |
no |
| Citation: |
bpbounds citation info |
| Materials: |
README, NEWS |
| In views: |
CausalInference |
| CRAN checks: |
bpbounds results |
Documentation:
Downloads:
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