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causalOT  

Optimal Transport Weights for Causal Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("causalOT", "1.0.2")



Attach the package and use:
library("causalOT")
Maintained by
Eric Dunipace
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-14
Latest Update: 2024-02-18
Description:
Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) . The package will build the weights, estimate treatment effects, and calculate confidence intervals via the methods described in the paper. The package also supports several other methods as described in the help files.
How to cite:
Eric Dunipace (2022). causalOT: Optimal Transport Weights for Causal Inference. R package version 1.0.2, https://cran.r-project.org/web/packages/causalOT. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.2 (2022-09-04 16:30), 0.1 (2022-03-14 09:50), 1.0.1 (2023-11-30 09:20), 1.0 (2023-11-28 18:50)
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Complete documentation for causalOT
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