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.

Version: 1.08
Depends: R (≥ 2.8.0), Matrix, fields
Suggests: spam
Published: 2014-03-07
Author: Alfredo Kalaitzis, Antti Honkela, Pei Gao, Neil D. Lawrence
Maintainer: Alfredo Kalaitzis <alkalait at gmail.com>
BugReports: alkalait@gmail.com
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
Citation: NA
Materials: NA
CRAN checks: gptk results

Downloads:

Reference manual: gptk.pdf
Package source: gptk_1.08.tar.gz
Windows binaries: r-devel: gptk_1.08.zip, r-release: gptk_1.08.zip, r-oldrel: gptk_1.08.zip
OS X Snow Leopard binaries: r-release: gptk_1.08.tgz, r-oldrel: gptk_1.08.tgz
OS X Mavericks binaries: r-release: gptk_1.08.tgz
Old sources: gptk archive