BayesGPfit: Fast Bayesian Gaussian Process Regression Fitting

Bayesian inferences on nonparametric regression via Gaussian Processes with a modified exponential square kernel using a basis expansion approach.

Version: 0.1.0
Depends: lattice
Imports: stats
Published: 2020-02-20
Author: Jian Kang [aut, cre], John Burkardt [ctb]
Maintainer: Jian Kang <jiankang at>
License: GPL-2
NeedsCompilation: yes
Materials: README
In views: Bayesian
CRAN checks: BayesGPfit results


Reference manual: BayesGPfit.pdf


Package source: BayesGPfit_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): BayesGPfit_0.1.0.tgz, r-oldrel (arm64): BayesGPfit_0.1.0.tgz, r-release (x86_64): BayesGPfit_0.1.0.tgz, r-oldrel (x86_64): BayesGPfit_0.1.0.tgz


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