kergp
Gaussian Process Laboratory
Gaussian process regression with an emphasis on kernels. Quantitative and qualitative inputs are accepted. Some pre-defined kernels are available, such as radial or tensor-sum for quantitative inputs, and compound symmetry, low rank, group kernel for qualitative inputs. The user can define new kernels and composite kernels through a formula mechanism. Useful methods include parameter estimation by maximum likelihood, simulation, prediction and leave-one-out validation.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.8 |
rolling linux/jammy R-4.5 | kergp_0.5.8.tar.gz |
1.2 MiB |
0.5.8 |
rolling linux/noble R-4.5 | kergp_0.5.8.tar.gz |
1.2 MiB |
0.5.8 |
rolling source/ R- | kergp_0.5.8.tar.gz |
683.9 KiB |
0.5.8 |
latest linux/jammy R-4.5 | kergp_0.5.8.tar.gz |
1.2 MiB |
0.5.8 |
latest linux/noble R-4.5 | kergp_0.5.8.tar.gz |
1.2 MiB |
0.5.8 |
latest source/ R- | kergp_0.5.8.tar.gz |
683.9 KiB |
0.5.8 |
2026-04-26 source/ R- | kergp_0.5.8.tar.gz |
683.9 KiB |
0.5.8 |
2026-04-23 source/ R- | kergp_0.5.8.tar.gz |
683.9 KiB |
0.5.8 |
2026-04-09 windows/windows R-4.5 | kergp_0.5.8.zip |
1.2 MiB |
0.5.8 |
2025-04-20 source/ R- | kergp_0.5.8.tar.gz |
683.9 KiB |