dirmeier/gpR: Gaussian processes in R
gpR is a Bayesian machine learning package using latent Gaussian processes. In general supervised machine learning can be divided in classification, where we describe data using discrete labels, and regression, where the labels are continuous.
Getting started
Browse package contents
Package details |
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| Author | Simon Dirmeier |
| Maintainer | Simon Dirmeier, <simon.dirmeier@gmx.de> |
| License | GPL-3 |
| Version | 0.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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