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:

Reference manual:	bpbounds.pdf
Vignettes:	Nonparametric bounds for the average causal effect: bpbounds examples

Downloads:

Package source:	bpbounds_0.1.6.tar.gz
Windows binaries:	r-devel: bpbounds_0.1.6.zip, r-release: bpbounds_0.1.6.zip, r-oldrel: bpbounds_0.1.6.zip
macOS binaries:	r-release (arm64): bpbounds_0.1.6.tgz, r-oldrel (arm64): bpbounds_0.1.6.tgz, r-release (x86_64): bpbounds_0.1.6.tgz, r-oldrel (x86_64): bpbounds_0.1.6.tgz
Old sources:	bpbounds archive

Linking:

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