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causalOT: Optimal Transport Weights for Causal Inference
Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) <arXiv:2109.01991>. 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.
Getting started
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Package details |
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| Author | Eric Dunipace [aut, cre] (<https://orcid.org/0000-0001-8909-213X>) |
| Maintainer | Eric Dunipace <edunipace@mail.harvard.edu> |
| License | GPL (== 3.0) |
| Version | 1.0.2 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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