RcppCGAL - 'Rcpp' Integration for 'CGAL'

Creates a header only package to link to the 'CGAL' (Computational Geometry Algorithms Library) header files in 'Rcpp'. There are a variety of potential uses for the software such as Hilbert sorting, K-D Tree nearest neighbors, and convex hull algorithms. For more information about how to use the header files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently downloads version 6.0.1 of the 'CGAL' header files.

Last updated 11 days ago

cgalcgal-headers

7.33 score 12 stars 12 packages 1 scripts 602 downloads

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.

Last updated 4 months ago

5.66 score 6 stars 19 scripts 290 downloads

approxOT - Approximate and Exact Optimal Transport Methods

R and C++ functions to perform exact and approximate optimal transport. All C++ methods can be linked to other R packages via their header files.

Last updated 10 months ago

3.88 score 3 stars 1 scripts 316 downloads

WpProj - Linear p-Wasserstein Projections

Performs Wasserstein projections from the predictive distributions of any model into the space of predictive distributions of linear models. We utilize L1 penalties to also reduce the complexity of the model space. This package employs the methods as described in Dunipace, Eric and Lorenzo Trippa (2020) <arXiv:2012.09999>.

Last updated 11 days ago

3.54 score 3 scripts 140 downloads