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) doi:10.48550/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.
- Version1.0.2
- R versionunknown
- LicenseGPL (== 3.0)
- Needs compilation?Yes
- causalOT citation info
- Last release02/18/2024
Documentation
Team
Eric Dunipace
MaintainerShow author details
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Last 30 days
This package has been downloaded 303 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 12 times.
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Last 365 days
This package has been downloaded 3,986 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 35 downloads.
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Dependencies
- Imports12 packages
- Suggests7 packages
- Linking To4 packages