alkalait/gptk: Gaussian Processes Tool-Kit
The gptk package implements a general-purpose toolkit for Gaussian process regression with a variety of covariance functions (e.g. RBF, Mattern, polynomial, etc). Based on a MATLAB implementation by Neil D. Lawrence. See inst/doc/index.html for more details.
Getting started
Browse package contents
Package details |
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| Author | Alfredo Kalaitzis <alkalait@gmail.com>, Antti Honkela <antti.honkela@helsinki.fi>, Pei Gao <pg349@medschl.cam.ac.uk>, Neil D. Lawrence <N.Lawrence@dcs.shef.ac.uk> |
| Maintainer | Alfredo Kalaitzis <alkalait@gmail.com> |
| License | BSD_2_clause + file LICENSE |
| Version | 1.09 |
| URL | |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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