TAG: Transformed Additive Gaussian Processes
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.
| Version: |
0.7.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp, DiceKriging, Matrix, mgcv, FastGP, mlegp, randtoolbox, foreach |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-04-10 |
| DOI: |
10.32614/CRAN.package.TAG |
| Author: |
Li-Hsiang Lin [aut, cre],
V. Roshan Joseph [aut] |
| Maintainer: |
Li-Hsiang Lin <lhlin at gsu.edu> |
| License: |
GPL-2 |
| NeedsCompilation: |
yes |
| CRAN checks: |
TAG results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=TAG
to link to this page.