Package: stilt 1.3.0
Kelsey Ruckert
stilt: Separable Gaussian Process Interpolation (Emulation)
Functions for simplified emulation of time series computer model output in model parameter space using Gaussian processes. Stilt can be used more generally for Kriging of spatio-temporal fields. There are functions to predict at new parameter settings, to test the emulator using cross-validation (which includes information on 95% confidence interval empirical coverage), and to produce contour plots over 2D slices in model parameter space.
Authors:
stilt_1.3.0.tar.gz
stilt_1.3.0.tar.gz(r-4.5-noble)stilt_1.3.0.tar.gz(r-4.4-noble)
stilt_1.3.0.tgz(r-4.4-emscripten)stilt_1.3.0.tgz(r-4.3-emscripten)
stilt.pdf |stilt.html✨
stilt/json (API)
NEWS
| # Install 'stilt' in R: |
| install.packages('stilt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- Data.1D.model - Synthetic model output for a simple 1-parameter ensemble example
- Data.1D.par - Parameter settings for 1-parameter ensemble model output in Data.1D.model
- Data.AR1Korea.model - Korean modelled temperature variability and future change
- Data.AR1Korea.par - Korean temperature variability parameters
- Data.Sicopolis.model - SICOPOLIS model ensemble output
- Data.Sicopolis.par - SICOPOLIS model ensemble parameter settings
- Data.UVic.model - UVic ESCM climate model ensemble output
- Data.UVic.par - UVic ESCM climate model ensemble parameter settings
- emul.1D - Emulator of model for the 1-parameter example
- emul.Sicopolis - SICOPOLIS ice sheet model emulator
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:a27132ceb7. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 22 2024 |
| R-4.5-linux | OK | Nov 22 2024 |
Exports:emul.predictemulatorrsurface.plotsep.covtest.alltest.csv
