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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
DOI: 10.32614/CRAN.package.BayesGPfit
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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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