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.
| Version: | 1.0.4 |
| Depends: | R (≥ 4.1.0) |
| Imports: | CBPS, ggplot2, lbfgsb3c, loo, Matrix (≥ 1.5-0), matrixStats, methods, osqp, R6 (≥ 2.4.1), Rcpp (≥ 1.0.3), rlang, sandwich, torch, utils |
| LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), torch |
| Suggests: | data.table (≥ 1.12.8), testthat (≥ 2.1.0), knitr, reticulate, rkeops (≥ 2.2.2), rmarkdown, V8, withr |
| Published: | 2026-03-10 |
| DOI: | 10.32614/CRAN.package.causalOT |
| Author: | Eric Dunipace 
[aut, cre] |
| Maintainer: | Eric Dunipace <edunipace at mail.harvard.edu> |
| License: | GPL (== 3.0) |
| NeedsCompilation: | yes |
| Additional_repositories: | https://ericdunipace.github.io/drat/ |
| Citation: | causalOT citation info |
| Materials: | README, NEWS |
| CRAN checks: | causalOT results |
Documentation:
| Reference manual: | causalOT.html , causalOT.pdf |
| Vignettes: |
Object Oriented COT Objects (source) Using causalOT (source) |
Downloads:
| Package source: | causalOT_1.0.4.tar.gz |
| Windows binaries: | r-devel: causalOT_1.0.4.zip, r-release: causalOT_1.0.4.zip, r-oldrel: causalOT_1.0.4.zip |
| macOS binaries: | r-release (arm64): causalOT_1.0.4.tgz, r-oldrel (arm64): causalOT_1.0.4.tgz, r-release (x86_64): causalOT_1.0.4.tgz, r-oldrel (x86_64): causalOT_1.0.4.tgz |
| Old sources: | causalOT archive |
Linking:
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