Transformed Additive Gaussian Processes R package TAG version 0.7.1 Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) <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. Software Depends: R (>= 3.5.0) Imports: Rcpp, DiceKriging, Matrix, mgcv, FastGP, mlegp, randtoolbox, foreach LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0) Li-Hsiang Lin <lhlin@gsu.edu> Comprehensive R Archive Network (CRAN) Li-Hsiang Lin [aut, cre], V. Roshan Joseph [aut] GPL-2 2026-04-10 application/tgz https://CRAN.R-project.org/package=TAG doi:10.32614/CRAN.package.TAG