cocons-package: Covariate-based Covariance Functions for Nonstationary...

In cocons: Covariate-Based Covariance Functions for Nonstationary Spatial Modeling

Covariate-based Covariance Functions for Nonstationary Gaussian Processes

Description

Provides routines and methods for estimating and predicting nonstationary Gaussian process models with modular covariate-based covariance functions. Several sources of nonstationarity can be modeled based on spatial information, including a spatial mean, marginal standard deviation, local geometric anisotropy, local nugget, and spatially varying smoothness. Each of these components is modeled separately. An induced compact-supported nonstationary covariance function is provided to speed up computations when handling densly sampled domains. Model parameters are estimated via maximum likelihood (and flavours of it, such as penalized and profile maximum likelihood). A variety of functions are also included to compute prediction metrics and to visualize, simulate, and summarize these types of models. Details of the models can be found in the vignette and in coco.

Disclaimer

This package is provided "as is" without warranty of any kind, either express or implied. Backwards compatibility will not be offered until later versions.

Author(s)

Federico Blasi [aut, cre], [e-mail]

Examples

## Not run: 
    vignette("cocons", package = "cocons")
    methods(class = "coco")
  
## End(Not run)

cocons documentation built on April 4, 2025, 3:21 a.m.