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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.1 |
rolling linux/jammy R-4.5 | TAG_0.7.1.tar.gz |
121.9 KiB |
0.7.1 |
rolling linux/noble R-4.5 | TAG_0.7.1.tar.gz |
122.8 KiB |
0.7.1 |
rolling source/ R- | TAG_0.7.1.tar.gz |
14.4 KiB |
0.7.1 |
latest linux/jammy R-4.5 | TAG_0.7.1.tar.gz |
121.9 KiB |
0.7.1 |
latest linux/noble R-4.5 | TAG_0.7.1.tar.gz |
122.8 KiB |
0.7.1 |
latest source/ R- | TAG_0.7.1.tar.gz |
14.4 KiB |
0.7.1 |
2026-04-26 source/ R- | TAG_0.7.1.tar.gz |
14.4 KiB |
0.7.1 |
2026-04-23 source/ R- | TAG_0.7.1.tar.gz |
14.4 KiB |
0.5.1 |
2025-04-20 source/ R- | TAG_0.5.1.tar.gz |
13.6 KiB |