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.

Version:	1.3.0
Depends:	R (≥ 3.2.4)
Imports:	fields
Published:	2018-08-15
Author:	Roman Olson, Won Chang, Klaus Keller, and Murali Haran
Maintainer:	Kelsey Ruckert <datamgmt at scrim.psu.edu>
License:	GPL-3
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	stilt results

Documentation:

Reference manual:

stilt.pdf

Downloads:

Package source:	stilt_1.3.0.tar.gz
Windows binaries:	r-devel: stilt_1.3.0.zip, r-release: stilt_1.3.0.zip, r-oldrel: stilt_1.3.0.zip
macOS binaries:	r-release (arm64): stilt_1.3.0.tgz, r-oldrel (arm64): stilt_1.3.0.tgz, r-release (x86_64): stilt_1.3.0.tgz, r-oldrel (x86_64): stilt_1.3.0.tgz
Old sources:	stilt archive

Linking:

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