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). 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: |
0.1.5 |
Depends: |
R (≥ 3.5.0) |
Suggests: |
dplyr, knitr, rmarkdown, shiny, testthat, tidyr |
Published: |
2023-05-03 |
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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