GauPro: Gaussian Process Fitting

Fits a Gaussian process model to data. Gaussian processes are commonly used in computer experiments to fit an interpolating model. The model is stored as an 'R6' object and can be easily updated with new data. There are options to run in parallel, and 'Rcpp' has been used to speed up calculations. For more info about Gaussian process software, see Erickson et al. (2018) <doi:10.1016/j.ejor.2017.10.002>.

Version:	0.2.13
Depends:	mixopt (> 0.1.0), numDeriv, rmarkdown, tidyr
Imports:	ggplot2, Rcpp, R6, lbfgs
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	ContourFunctions, dplyr, ggrepel, gridExtra, knitr, lhs, MASS, microbenchmark, rlang, splitfngr, testthat
Published:	2024-09-26
DOI:	10.32614/CRAN.package.GauPro
Author:	Collin Erickson [aut, cre]
Maintainer:	Collin Erickson <collinberickson at gmail.com>
BugReports:	https://github.com/CollinErickson/GauPro/issues
License:	GPL-3
URL:	https://github.com/CollinErickson/GauPro
NeedsCompilation:	yes
Materials:	README NEWS
CRAN checks:	GauPro results

Documentation:

Reference manual:	GauPro.pdf
Vignettes:	Leave-one-out cross-validation and error correction (source, R code) A Guide to the GauPro R package (source, R code) Introduction to Gaussian Processes (source) Derivatives for estimating Gaussian process parameters (source) Spatial derivatives of Gaussian process models (source)

Downloads:

Package source:	GauPro_0.2.13.tar.gz
Windows binaries:	r-devel: GauPro_0.2.13.zip, r-release: GauPro_0.2.13.zip, r-oldrel: GauPro_0.2.13.zip
macOS binaries:	r-release (arm64): GauPro_0.2.13.tgz, r-oldrel (arm64): GauPro_0.2.13.tgz, r-release (x86_64): GauPro_0.2.13.tgz, r-oldrel (x86_64): GauPro_0.2.13.tgz
Old sources:	GauPro archive

Reverse dependencies:

Reverse depends:

comparer

Linking:

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