Other packages > Find by keyword >

GaSP  

Train and Apply a Gaussian Stochastic Process Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("GaSP", "1.0.6")



Attach the package and use:
library("GaSP")
Maintained by
William J. Welch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-07
Latest Update: 2024-06-27
Description:
Train a Gaussian stochastic process model of an unknown function, possibly observed with error, via maximum likelihood or maximum a posteriori (MAP) estimation, run model diagnostics, and make predictions, following Sacks, J., Welch, W.J., Mitchell, T.J., and Wynn, H.P. (1989) "Design and Analysis of Computer Experiments", Statistical Science, . Perform sensitivity analysis and visualize low-order effects, following Schonlau, M. and Welch, W.J. (2006), "Screening the Input Variables to a Computer Model Via Analysis of Variance and Visualization", .
How to cite:
William J. Welch (2021). GaSP: Train and Apply a Gaussian Stochastic Process Model. R package version 1.0.6, https://cran.r-project.org/web/packages/GaSP. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.0 (2021-06-07 11:40), 1.0.1 (2022-01-18 08:42), 1.0.4 (2023-05-18 13:12), 1.0.5 (2023-12-08 07:30)
Other packages that cited GaSP R package
View GaSP citation profile
Other R packages that GaSP depends, imports, suggests or enhances
Complete documentation for GaSP
Functions, R codes and Examples using the GaSP R package
Full GaSP package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA