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Introducing multivator: A Multivariate Emulator | Hankin | Journal of Statistical Software
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: 2258)
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multivator_1.1-0.tar.gz: R source package Download (Downloads: 575; 1MB)
v46i08.R: R example code from the paper Download (Downloads: 544; 11KB)
DOI: 10.18637/jss.v046.i08

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