The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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, <doi:10.1214/ss/1177012413>. 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", <doi:10.1007/0-387-28014-6_14>.
Version: | 1.0.6 |
Depends: | R (≥ 3.5.0) |
Suggests: | markdown, rmarkdown, knitr, testthat |
Published: | 2024-06-27 |
DOI: | 10.32614/CRAN.package.GaSP |
Author: | William J. Welch |
Maintainer: | William J. Welch <will at stat.ubc.ca> |
License: | GPL-3 |
NeedsCompilation: | yes |
Materials: | README |
CRAN checks: | GaSP results |
Reference manual: | GaSP.pdf |
Vignettes: |
GaSP: Train and Apply a Gaussian Stochastic Process Model |
Package source: | GaSP_1.0.6.tar.gz |
Windows binaries: | r-devel: GaSP_1.0.6.zip, r-release: GaSP_1.0.6.zip, r-oldrel: GaSP_1.0.6.zip |
macOS binaries: | r-release (arm64): GaSP_1.0.6.tgz, r-oldrel (arm64): GaSP_1.0.5.tgz, r-release (x86_64): GaSP_1.0.6.tgz, r-oldrel (x86_64): GaSP_1.0.5.tgz |
Old sources: | GaSP archive |
Please use the canonical form https://CRAN.R-project.org/package=GaSP 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.
Health stats visible at Monitor.