Software
R packages
I currently do most of my coding in R with some C++ sprinkled in thanks to Rcpp.
- approxOT: approximate and exact optimal transport algorithms with linkable C++ header files
- causalOT: using Optimal Transport methods to perform weighting for causal inference
- RcppCGAL: header files from the CGAL library for use in R
- WpProj: Wasserstein projections for linear models
And packages under development include
- graphTest: Using nearest neighbor graphs and Hamiltonian paths to do multisample testing with multivariate data
- pycot: Using optimal transport methods for causal inference in Python
Other Code
- Code to reproduce the results in the paper Interpretable Model Summaries Using the Wasserstein Distance can be found here.
- Code to reproduce the results for Association Between Periodontal Disease and Cardiovascular Disease (from the NHANES) can be found here.
