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>
License: BSD_2_clause + file LICENSE
NeedsCompilation: no
CRAN checks: gptk results


Reference manual: gptk.pdf


Package source: gptk_1.08.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gptk_1.08.tgz, r-release (x86_64): gptk_1.08.tgz, r-oldrel: gptk_1.08.tgz
Old sources: gptk archive

Reverse dependencies:

Reverse depends: gprege
Reverse imports: deGradInfer, GPrank


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