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) . 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.


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install.packages("IDE")

0.3.0 by Andrew Zammit-Mangion, 4 months ago


Report a bug at http://github.com/andrewzm/IDE/issues


Browse source code at https://github.com/cran/IDE


Authors: Andrew Zammit-Mangion [aut, cre]


Documentation:   PDF Manual  


Task views: Handling and Analyzing Spatio-Temporal Data


GPL (>= 2) license


Imports methods, ggplot2, Matrix, sp, spacetime, parallel, dplyr, tidyr, FRK, DEoptim, stats, utils, sparseinv

Suggests knitr


See at CRAN