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.

Package details

AuthorRoman Olson, Won Chang, Klaus Keller, and Murali Haran
MaintainerKelsey Ruckert <>
Package repositoryView on CRAN
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stilt documentation built on May 2, 2019, 1:10 p.m.