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: 0.1.3
Depends: R (≥ 3.5.0)
Imports: methods
Suggests: dplyr, testthat, knitr, rmarkdown, tidyr, shiny
Published: 2019-02-10
Author: Tom Palmer ORCID iD [aut, cre], Roland Ramsahai ORCID iD [aut], Vanessa Didelez ORCID iD [aut], Nuala Sheehan ORCID iD [aut]
Maintainer: Tom Palmer <tom.palmer at lancaster.ac.uk>
BugReports: https://github.com/remlapmot/bpbounds/issues
License: GPL-3
URL: https://github.com/remlapmot/bpbounds
NeedsCompilation: no
Citation: bpbounds citation info
Materials: README NEWS
CRAN checks: bpbounds results


Reference manual: bpbounds.pdf
Vignettes: Nonparametric bounds for the average causal effect: 'bpbounds' examples
Package source: bpbounds_0.1.3.tar.gz
Windows binaries: r-devel: bpbounds_0.1.3.zip, r-release: bpbounds_0.1.3.zip, r-oldrel: not available
OS X binaries: r-release: bpbounds_0.1.3.tgz, r-oldrel: not available
Old sources: bpbounds archive


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