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 |
Reference manual: | BayesGPfit.pdf |
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 imports: | BSPBSS |
Please use the canonical form https://CRAN.R-project.org/package=BayesGPfit to link to this page.