1. Introduction | 2. Data Setup | 3. GaSP Model Formulation | 3.1 GaSP model components | 3.2 Mean (regression) function | 3.3 Stochastic process component | 3.4 Random error component | 4. GaSPModel object | 5. Fit | 5.1 Maximum likelihood estimation | 5.2 Maximum a posteriori (MAP) estimation | 5.3 Further details of Fit | 6 Predict | 7 CrossValidate | 8 Plots and diagnostics for Predict and CrossValidate | 8.1 Plots for Predict | 8.2 Plots for CrossValidate | 8.3 Root mean squared error (RMSE) | 9. Visualize | 9.1 DecribeX | 9.2 Visualize | 9.3 Plots for Visualize | 10. PlotAll | 11. Future
Package: GaSP 1.0.6
GaSP: Train and Apply a Gaussian Stochastic Process Model
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>.
Authors:
GaSP_1.0.6.tar.gz
GaSP_1.0.6.zip(r-4.7)GaSP_1.0.6.zip(r-4.6)GaSP_1.0.6.zip(r-4.5)
GaSP_1.0.6.tgz(r-4.6-x86_64)GaSP_1.0.6.tgz(r-4.6-arm64)GaSP_1.0.6.tgz(r-4.5-x86_64)GaSP_1.0.6.tgz(r-4.5-arm64)
GaSP_1.0.6.tar.gz(r-4.7-arm64)GaSP_1.0.6.tar.gz(r-4.7-x86_64)GaSP_1.0.6.tar.gz(r-4.6-arm64)GaSP_1.0.6.tar.gz(r-4.6-x86_64)
GaSP_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GaSP/json (API)
| # Install 'GaSP' in R: |
| install.packages('GaSP', repos = c('https://wsqlab.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- borehole - Data for the borehole function
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:38efb7ec4e. Checks:11 WARNING, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | WARNING | 146 | ||
| linux-devel-x86_64 | WARNING | 148 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | WARNING | 142 | ||
| linux-release-x86_64 | WARNING | 142 | ||
| macos-release-arm64 | WARNING | 213 | ||
| macos-release-x86_64 | WARNING | 361 | ||
| macos-oldrel-arm64 | WARNING | 220 | ||
| macos-oldrel-x86_64 | WARNING | 322 | ||
| windows-devel | WARNING | 133 | ||
| windows-release | WARNING | 138 | ||
| windows-oldrel | WARNING | 104 | ||
| wasm-release | OK | 115 |
Exports:CrossValidateDescribeXFitGaSPModelPlotAllPlotJointEffectsPlotMainEffectsPlotPredictionsPlotQQPlotResidualsPlotStdResidualsPredictRMSEVisualize
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Data for the borehole function | borehole |
| Cross-validated predictions for a 'GaSPModel' object. | CrossValidate |
| Describe the input variables. | DescribeX |
| Fit a GaSP model. | Fit |
| Create a 'GaSPModel' object. | GaSPModel |
| Execute 'PlotPredictions', 'PlotResiduals', 'PlotStdResiduals', 'PlotMainEffects', and 'PlotJointEffects'. | PlotAll |
| Plot the estimated joint effects. | PlotJointEffects |
| Plot the estimated main effects. | PlotMainEffects |
| Plot true versus predicted output. | PlotPredictions |
| Normal quantile-quantile (Q-Q) plot. | PlotQQ |
| Plot residuals versus each input variable. | PlotResiduals |
| Plot standardized residuals versus predictions. | PlotStdResiduals |
| Predict from a 'GaSPModel' object. | Predict |
| Calculate the root mean squared error (RMSE) of prediction | RMSE |
| Visualize a 'GaSPModel' object. | Visualize |
