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nbpInference  

Inference on Average Treatment Effects for Continuous Treatments
View on CRAN: Click here


Download and install nbpInference package within the R console
Install from CRAN:
install.packages("nbpInference")

Install from Github:
library("remotes")
install_github("cran/nbpInference")

Install by package version:
library("remotes")
install_version("nbpInference", "1.0.3")



Attach the package and use:
library("nbpInference")
Maintained by
Anthony Frazier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-10-17
Latest Update: 2025-10-17
Description:
Conduct inference on the sample average treatment effect for a matched (observational) dataset with a continuous treatment. Equipped with calipered non-bipartite matching, bias-corrected sample average treatment effect estimation, and covariate-adjusted variance estimation. Matching, estimation, and inference methods are described in Frazier, Heng and Zhou (2024) <doi:10.48550/arXiv.2409.11701>.
How to cite:
Anthony Frazier (2025). nbpInference: Inference on Average Treatment Effects for Continuous Treatments. R package version 1.0.3, https://cran.r-project.org/web/packages/nbpInference. Accessed 24 Oct. 2026.
Previous versions and publish date:
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Complete documentation for nbpInference
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