diffMeshGP
Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model
This R function implements the nonstationary Kriging model proposed by Tuo, Wu and Yu (2014) <DOI:10.1080/00401706.2013.842935> for analyzing multi-fidelity computer outputs. This function computes the maximum likelihood estimates for the model parameters as well as the predictive means and variances of the exact solution.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | diffMeshGP_0.1.1.tar.gz |
18.8 KiB |
0.1.1 |
rolling linux/noble R-4.5 | diffMeshGP_0.1.1.tar.gz |
18.8 KiB |
0.1.1 |
rolling source/ R- | diffMeshGP_0.1.1.tar.gz |
5.5 KiB |
0.1.1 |
latest linux/jammy R-4.5 | diffMeshGP_0.1.1.tar.gz |
18.8 KiB |
0.1.1 |
latest linux/noble R-4.5 | diffMeshGP_0.1.1.tar.gz |
18.8 KiB |
0.1.1 |
latest source/ R- | diffMeshGP_0.1.1.tar.gz |
5.5 KiB |
0.1.1 |
2026-04-26 source/ R- | diffMeshGP_0.1.1.tar.gz |
5.5 KiB |
0.1.1 |
2026-04-23 source/ R- | diffMeshGP_0.1.1.tar.gz |
5.5 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | diffMeshGP_0.1.1.zip |
21.7 KiB |