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GPfit  

Gaussian Processes Modeling
View on CRAN: Click here


Download and install GPfit package within the R console
Install from CRAN:
install.packages("GPfit")

Install from Github:
library("remotes")
install_github("cran/GPfit")

Install by package version:
library("remotes")
install_version("GPfit", "1.0-9")



Attach the package and use:
library("GPfit")
Maintained by
Hugh Chipman
[Scholar Profile | Author Map]
First Published: 2012-08-09
Latest Update: 2019-02-08
Description:
A computationally stable approach of fitting a Gaussian Process (GP) model to a deterministic simulator.
How to cite:
Hugh Chipman (2012). GPfit: Gaussian Processes Modeling. R package version 1.0-9, https://cran.r-project.org/web/packages/GPfit. Accessed 07 May. 2025.
Previous versions and publish date:
0.1-0 (2012-08-09 07:35), 0.2-0 (2014-06-24 11:35), 0.2-1 (2014-09-03 22:14), 1.0-0 (2015-04-02 17:44), 1.0-6 (2019-01-16 06:50), 1.0-8 (2019-02-08 10:13)
Other packages that cited GPfit R package
View GPfit citation profile
Other R packages that GPfit depends, imports, suggests or enhances
Complete documentation for GPfit
Functions, R codes and Examples using the GPfit R package
Some associated functions: GP_deviance . GP_fit . GPfit-package . corr_matrix . plot . predict . print.GP . scale_norm . sig_invb . summary.GP . 
Some associated R codes: GP_deviance.R . GP_fit.R . GPfit-package.R . corr_matrix.R . dev_wrapper.R . is.GP.R . plot.GP.R . predict.GP.R . print.GP.R . summary.GP.R .  Full GPfit package functions and examples
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