Package: TAG Type: Package Title: Transformed Additive Gaussian Processes Version: 0.7.1 Authors@R: c(person(given = "Li-Hsiang", family = "Lin", role = c("aut", "cre"), email ="lhlin@gsu.edu"), person(given = c("V.", "Roshan"), family = "Joseph", role = "aut")) Maintainer: Li-Hsiang Lin Description: Implement the transformed additive Gaussian (TAG) process and the transformed approximately additive Gaussian (TAAG) process proposed in Lin and Joseph (2020) . 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. License: GPL-2 Depends: R (>= 3.5.0) Imports: Rcpp, DiceKriging, Matrix, mgcv, FastGP, mlegp, randtoolbox, foreach LinkingTo: Rcpp, RcppArmadillo RoxygenNote: 6.1.1 NeedsCompilation: yes Packaged: 2026-10-04 11:26:37 UTC; root Suggests: testthat (>= 3.0.0) Config/testthat/edition: 3 Author: Li-Hsiang Lin [aut, cre], V. Roshan Joseph [aut] Repository: https://cran.r-universe.dev Date/Publication: 2026-04-10 11:15:01 UTC RemoteUrl: https://github.com/cran/TAG RemoteRef: HEAD RemoteSha: 8be27154a5092781df22ce6d9ba2a24fe1ba818b