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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.
Getting started
Browse package contents
Package details |
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| Author | Roman Olson [aut], Won Chang [aut], Klaus Keller [aut], Murali Haran [aut], Kelsey Ruckert [cre] |
| Maintainer | Kelsey Ruckert <datamgmt@scrim.psu.edu> |
| License | GPL-3 |
| Version | 1.3.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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