cocons
Covariate-Based Covariance Functions for Nonstationary Spatial Modeling
Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.5 |
rolling linux/jammy R-4.5 | cocons_0.1.5.tar.gz |
2.8 MiB |
0.1.5 |
rolling linux/noble R-4.5 | cocons_0.1.5.tar.gz |
2.8 MiB |
0.1.5 |
rolling source/ R- | cocons_0.1.5.tar.gz |
2.3 MiB |
0.1.5 |
latest linux/jammy R-4.5 | cocons_0.1.5.tar.gz |
2.8 MiB |
0.1.5 |
latest linux/noble R-4.5 | cocons_0.1.5.tar.gz |
2.8 MiB |
0.1.5 |
latest source/ R- | cocons_0.1.5.tar.gz |
2.3 MiB |
0.1.5 |
2026-04-26 source/ R- | cocons_0.1.5.tar.gz |
2.3 MiB |
0.1.5 |
2026-04-23 source/ R- | cocons_0.1.5.tar.gz |
2.3 MiB |
0.1.5 |
2026-04-09 windows/windows R-4.5 | cocons_0.1.5.zip |
3.1 MiB |
0.1.4 |
2025-04-20 source/ R- | cocons_0.1.4.tar.gz |
2.3 MiB |