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.
| Version: | 1.06 |
| Depends: | R (≥ 2.8.0), fields, Matrix |
| Suggests: | spam |
| Published: | 2013-03-12 |
| Author: | Alfredo A. Kalaitzis, Antti Honkela, Pei Gao, Neil D. Lawrence |
| Maintainer: | Alfredo A. Kalaitzis <alkalait at gmail.com> |
| BugReports: | alkalait@gmail.com |
| License: | AGPL-3 |
| URL: | http://staffwww.dcs.shef.ac.uk/people/A.Kalaitzis/ |
| NeedsCompilation: | no |
| CRAN checks: | gptk results |
| Package source: | gptk_1.06.tar.gz |
| MacOS X binary: | gptk_1.06.tgz |
| Windows binary: | gptk_1.06.zip |
| Reference manual: | gptk.pdf |
| Old sources: | gptk archive |