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: 0.3.1 Depends: R (≥ 3.6.0) Imports: methods, ggplot2, Matrix, sp, spacetime, parallel, dplyr, tidyr, FRK, DEoptim, stats, utils, sparseinv Suggests: knitr Published: 2022-05-30 DOI: 10.32614/CRAN.package.IDE Author: Andrew Zammit-Mangion [aut, cre] Maintainer: Andrew Zammit-Mangion <andrewzm at gmail.com> BugReports: https://github.com/andrewzm/IDE/issues/ License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: no In views: SpatioTemporal CRAN checks: IDE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=IDE to link to this page.
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