Package: causalOT Type: Package Title: Optimal Transport Weights for Causal Inference Version: 1.0.4 Date: 2026-03-07 Author: Eric Dunipace [aut, cre] () Authors@R: person("Eric", "Dunipace", role = c("aut", "cre"), email = "edunipace@mail.harvard.edu", comment = c(ORCID = "0000-0001-8909-213X")) Maintainer: Eric Dunipace 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. License: GPL (==3.0) 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 Additional_repositories: https://ericdunipace.github.io/drat/ Biarch: true Depends: R (>= 4.1.0) Roxygen: list(markdown = TRUE) Encoding: UTF-8 RoxygenNote: 7.3.3 LazyData: true VignetteBuilder: knitr, rmarkdown Collate: 'DataSimClass.R' 'dataHolder.R' 'weightsClass.R' 'ESS.R' 'OT.R' 'PSIS.R' 'RcppExports.R' 'balanceFunctions.R' 'barycentricProjection.R' 'calc_weight.R' 'causalOT-package.R' 'cost_functions.R' 'scmClass.R' 'gridSearch.R' 'cotClass.R' 'cotOOP.R' 'cot_opts.R' 'likelihoodClass.R' 'mean_balance.R' 'summary.R' 'supportedMethods.R' 'treatment_effect.R' 'utils.R' 'zzz.R' Config/pak/sysreqs: make Repository: https://ericdunipace.r-universe.dev Date/Publication: 2026-03-08 08:15:18 UTC RemoteUrl: https://github.com/ericdunipace/causalot RemoteRef: HEAD RemoteSha: 9dab550633bf3e99f24dacd1b8cd74d3fdc178bd NeedsCompilation: yes Packaged: 2026-10-04 08:09:26 UTC; root