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README.md
In ideq: Bayesian Dynamic Spatio-Temporal Models, Including the Integrodifference Equation Model
ideq
An R package for Dynamic Spatio-temporal Models (DSTMs)
ideq fits two main categories of Bayesian DSTMs:
empirical orthogonal function (EOF) models
and integrodifference equation (IDE) models, the package's namesake.
The EOF models use an observation matrix derived from the principal components of the data
while the IDE models are based on diffusion dynamics and involve redistribution kernel—a
probability distribution governing diffusion from one time point to the next.
Try the ideq package in your browser
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ideq documentation built on Dec. 20, 2019, 1:07 a.m.
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ideq
An R package for Dynamic Spatio-temporal Models (DSTMs)
ideq fits two main categories of Bayesian DSTMs: empirical orthogonal function (EOF) models and integrodifference equation (IDE) models, the package's namesake. The EOF models use an observation matrix derived from the principal components of the data while the IDE models are based on diffusion dynamics and involve redistribution kernel—a probability distribution governing diffusion from one time point to the next.
Try the ideq package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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