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 umich.edu>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: BayesGPfit results

Downloads:

Reference manual: BayesGPfit.pdf
Package source: BayesGPfit_0.1.0.tar.gz
Windows binaries: r-devel: BayesGPfit_0.1.0.zip, r-devel-gcc8: BayesGPfit_0.1.0.zip, r-release: BayesGPfit_0.1.0.zip, r-oldrel: BayesGPfit_0.1.0.zip
OS X binaries: r-release: BayesGPfit_0.1.0.tgz, r-oldrel: BayesGPfit_0.1.0.tgz

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