{"package":"T4transport","ecosystem":"cran","exists":true,"latest_version":"0.1.8","repository":"https://CRAN.R-project.org/package=T4transport","license":"MIT + file LICENSE","description":"Tools for Computational Optimal Transport. Transport theory has seen much success in many fields of statistics and machine learning. We provide a variety of algorithms to compute Wasserstein distance, barycenter, and others. See Peyré and Cuturi (2019) <doi:10.1561/2200000073> for the general exposition to the study of computational optimal ","downloads_weekly":84,"deprecated":false,"health":{"score":42},"_cache":"db_only_bot","_partial":true,"_response_ms":1,"_powered_by":"depscope.dev — bot fast path (DB-only)","recommendation":{"action":"review"}}