Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
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Authors: Robin K. S. Hankin
Title: Introducing multivator: A Multivariate Emulator
Abstract: A multivariate generalization of the emulator technique described by Hankin (2005) is presented in which random multivariate functions may be assessed. In the standard univariate case (Oakley 1999), a Gaussian process, a finite number of observations is made; here, observations of different types are considered. The technique has the property that marginal analysis (that is, considering only a single observation type) reduces exactly to the univariate theory. The associated software is used to analyze datasets from the field of climate change.

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Paper: Introducing multivator: A Multivariate Emulator     Download PDF (Downloads: 2628)
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multivator_1.1-0.tar.gz: R source package Download (Downloads: 649; 1MB)
v46i08.R: R example code from the paper Download (Downloads: 651; 11KB)

DOI: 10.18637/jss.v046.i08

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.