IDE: Integro-Difference Equation Spatio-Temporal Models

The Integro-Difference Equation model is a linear, dynamical model used to model phenomena that evolve in space and in time; see, for example, Cressie and Wikle (2011, ISBN:978-0-471-69274-4) or Dewar et al. (2009) <doi:10.1109/TSP.2008.2005091>. At the heart of the model is the kernel, which dictates how the process evolves from one time point to the next. Both process and parameter reduction are used to facilitate computation, and spatially-varying kernels are allowed. Data used to estimate the parameters are assumed to be readings of the process corrupted by Gaussian measurement error. Parameters are fitted by maximum likelihood, and estimation is carried out using an evolution algorithm.

Version: 0.2.0
Depends: R (≥ 3.2.0)
Imports: methods, ggplot2, Matrix, sp, spacetime, parallel, dplyr, tidyr, FRK, DEoptim, stats, utils, sparseinv
Suggests: knitr
Published: 2018-08-07
Author: Andrew Zammit-Mangion [aut, cre]
Maintainer: Andrew Zammit-Mangion <andrewzm at gmail.com>
BugReports: http://github.com/andrewzm/IDE/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: IDE results

Downloads:

Reference manual: IDE.pdf
Vignettes: Spatio-temporal modelling with IDE
Package source: IDE_0.2.0.tar.gz
Windows binaries: r-devel: IDE_0.2.0.zip, r-release: IDE_0.2.0.zip, r-oldrel: IDE_0.2.0.zip
OS X binaries: r-release: IDE_0.2.0.tgz, r-oldrel: IDE_0.2.0.tgz
Old sources: IDE archive

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