This package contains methods for fast computations for Gaussian process models. It is based on Aldo Vecchia's (1988) ordered composite likelihood method, but also has fast algorithms for reordering the observations, finding nearest neighbors, and grouping the likelihood calculations for faster and more accurate results.
Package details |
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Author | Joe Guinness |
Maintainer | Joe Guinness <jsguinne@ncsu.edu> |
License | GNU GPLv3 |
Version | 0.1.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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