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bpbounds: Nonparametric bounds for the average causal effect for one-sample (bivariate) and two-sample (trivariate) data

R package implementing the nonparametric bounds for the average causal effect of Balke and Pearl (1997).

Installation

Install the released version of bpbounds from CRAN:

install.packages("bpbounds")

or from the MRCIEU R-universe

install.packages("bpbounds", repos = c("https://mrcieu.r-universe.dev", "https://cloud.r-project.org"))

Or install the development version from my r-universe

install.packages("bpbounds", repos = c("https://remlapmot.r-universe.dev", "https://cloud.r-project.org"))

Or install the development version from GitHub with:

# install.packages("remotes") 
remotes::install_github("remlapmot/bpbounds")

Shiny App

There is a Shiny app demonstrating the package at: https://remlapmot.shinyapps.io/bpbounds/.

Package website

The helpfiles and vignette are shown on the package website at: https://remlapmot.github.io/bpbounds/.

Authors

Tom Palmer (maintainer, ), Roland Ramsahai, Vanessa Didelez, Nuala Sheehan.

References

Balke A, Pearl J. Bounds on Treatment Effects from studies with imperfect compliance. Journal of the American Statistical Association, 1997, 92, 439, 1171-1176, doi: 10.1080/01621459.1997.10474074.