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 <lhlin@gsu.edu>
Description: 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.
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: 2026-04-09 02:50:39 UTC; lhlin
Repository: CRAN
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Author: Li-Hsiang Lin [aut, cre],
  V. Roshan Joseph [aut]
Date/Publication: 2026-04-10 08:20:21 UTC
Built: R 4.5.2; aarch64-apple-darwin20; 2026-04-15 05:04:26 UTC; unix
Archs: TAG.so.dSYM
