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:	1.1.0
Depends:	lattice
Imports:	stats
Published:	2022-08-06
Author:	Jian Kang [aut, cre], John Burkardt [ctb]
Maintainer:	Jian Kang <jiankang at umich.edu>
License:	GPL-2
NeedsCompilation:	yes
Materials:	README
In views:	Bayesian
CRAN checks:	BayesGPfit results

Documentation:

Reference manual:

BayesGPfit.pdf

Downloads:

Package source:	BayesGPfit_1.1.0.tar.gz
Windows binaries:	r-devel: BayesGPfit_1.1.0.zip, r-release: BayesGPfit_1.1.0.zip, r-oldrel: BayesGPfit_1.1.0.zip
macOS binaries:	r-release (arm64): BayesGPfit_1.1.0.tgz, r-oldrel (arm64): BayesGPfit_1.1.0.tgz, r-release (x86_64): BayesGPfit_1.1.0.tgz, r-oldrel (x86_64): BayesGPfit_1.1.0.tgz
Old sources:	BayesGPfit archive

Reverse dependencies:

Reverse imports:

BSPBSS

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BayesGPfit to link to this page.