cbdavis33/bcgp1: Bayesian Composite Gaussian Processes
Implements fully Bayesian statistical inference and prediction using Gaussian Processes. Hopefully, the user will have the ability to fit and predict with a stationary Gaussian Process (GP) model, a non-stationary GP model, a stationary composite GP model, and a non-stationary composite GP model. No guarantees on all those options.
Getting started
Browse package contents
Package details |
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| Maintainer | Casey Davis <cbdavis33@gmail.com> |
| License | GPL (>=2) |
| Version | 0.1.0 |
| URL | https://github.com/cbdavis33/bcgp1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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