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bpbounds  

Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions
View on CRAN: Click here


Download and install bpbounds package within the R console
Install from CRAN:
install.packages("bpbounds")

Install from Github:
library("remotes")
install_github("cran/bpbounds")

Install by package version:
library("remotes")
install_version("bpbounds", "0.1.6")



Attach the package and use:
library("bpbounds")
Maintained by
Tom Palmer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-18
Latest Update: 2024-06-13
Description:
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).
How to cite:
Tom Palmer (2018). bpbounds: Nonparametric Bounds for the Average Causal Effect Due to Balke and Pearl and Extensions. R package version 0.1.6, https://cran.r-project.org/web/packages/bpbounds. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-13 15:00), 0.1.0 (2018-11-18 20:00), 0.1.1 (2018-12-19 17:20), 0.1.3 (2019-02-10 13:13), 0.1.4 (2020-01-21 12:10), 0.1.5 (2023-05-03 22:00), 0.1.6 (2024-06-13 17:20), 0.1.7 (2026-05-24 17:50)
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Complete documentation for bpbounds
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