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. This will be a garbage translation from MATLAB to R. Poorly documented, little error checking. Slow, written purely in R. I just want to get something running.
Package details |
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Maintainer | Casey Davis <cbdavis33@gmail.com> |
License | GPL (>=2) |
Version | 0.1.0 |
URL | https://github.com/cbdAmgen/bcgp0a |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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