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).

Package details

AuthorTom Palmer [aut, cre] (<https://orcid.org/0000-0003-4655-4511>), Roland Ramsahai [aut] (<https://orcid.org/0000-0002-7349-1977>), Vanessa Didelez [aut] (<https://orcid.org/0000-0001-8587-7706>), Nuala Sheehan [aut] (<https://orcid.org/0000-0001-9094-2605>)
MaintainerTom Palmer <[email protected]>
LicenseGPL-3
Version0.1.3
URL https://github.com/remlapmot/bpbounds
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("bpbounds")

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bpbounds documentation built on Feb. 10, 2019, 5:05 p.m.