Tools for Computational Optimal Transport
c(person("Kisung", "You", role = c("aut", "cre"),email = "kyoustat@gmail.com",comment=c(ORCID="0000-0002-8584-459X")))
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 transport.
Rcpp (>= 1.0.5), Rdpack, lpSolve, stats, utils

CVXR, Rcpp (>= 1.0.5), Rdpack, lpSolve, stats, utils

Functions to Support the ICES Transparent Assessment Framework
c(person("Arni", "Magnusson", role=c("aut","cre"), email="thisisarni@gmail.com"),
person("Colin", "Millar", role="aut"),
person("Alexandros", "Kokkalis", role="ctb"),
person("Iago", "Mosqueira", role="ctb"),
person("Ibrahim", "Umar", role="ctb"),
person("Hjalte", "Parner", role="ctb"))
Functions to support the ICES Transparent Assessment Framework
<https://taf.ices.dk> to organize data, methods, and results used in ICES
assessments. ICES is an organization facilitating international collaboration
in marine science.
Arni Magnusson [aut, cre],
Colin Millar [aut],
Alexandros Kokkalis [ctb],
Iago Mosqueira [ctb],
Ibrahim Umar [ctb],
Hjalte Parner [ctb]

Implement the transformed additive Gaussian (TAG) process and the  transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2019+) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions.
Rcpp, DiceKriging, Matrix, mgcv, FastGP, mlegp, randtoolbox,
doParallel

Implement the transformed additive Gaussian (TAG) process and the  transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2019+) <DOI:10.1080/00401706.2019.1665592>. These functions can be used to model deterministic computer experiments, obtain predictions at new inputs, and quantify the uncertainty of the predictions. This research is supported by a U.S. National Science Foundation grant DMS-1712642 and a U.S. Army Research Office grant W911NF-17-1-0007.
Rcpp, DiceKriging, Matrix, mgcv, FastGP, mlegp, randtoolbox,
foreach