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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, tom.palmer@bristol.ac.uk), 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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.