gplite
General Purpose Gaussian Process Modelling
Implements the most common Gaussian process (GP) models using Laplace and expectation propagation (EP) approximations, maximum marginal likelihood (or posterior) inference for the hyperparameters, and sparse approximations for larger datasets.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.13.0 |
rolling source/ R- | gplite_0.13.0.tar.gz |
1.9 MiB |
0.13.0 |
rolling linux/jammy R-4.5 | gplite_0.13.0.tar.gz |
2.1 MiB |
0.13.0 |
rolling linux/noble R-4.5 | gplite_0.13.0.tar.gz |
2.1 MiB |
0.13.0 |
latest source/ R- | gplite_0.13.0.tar.gz |
1.9 MiB |
0.13.0 |
latest linux/jammy R-4.5 | gplite_0.13.0.tar.gz |
2.1 MiB |
0.13.0 |
latest linux/noble R-4.5 | gplite_0.13.0.tar.gz |
2.1 MiB |
0.13.0 |
2026-04-23 source/ R- | gplite_0.13.0.tar.gz |
1.9 MiB |
0.13.0 |
2026-04-09 windows/windows R-4.5 | gplite_0.13.0.zip |
2.4 MiB |
0.13.0 |
2025-04-20 source/ R- | gplite_0.13.0.tar.gz |
1.9 MiB |