The R package GPsim is a simulation framework for generating realizations of Gaussian Processes (GPs), which allows users to make use of a wide range of simulation designs including arbitrary domains and user-defined covariance models. It also allows users to use not only classical covariance functions but also nonstationary covariance functions with a minimal effort of programming. Moreover, the correlation-based Vecchia approximation method is implemented as a baseline model only for known-parameters GPs cases.
Package details |
|
---|---|
Author | Myeongjong Kang [aut, cre] |
Maintainer | Myeongjong Kang <kmj.stat@gmail.com> |
License | GPL-3 |
Version | 0.2.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.