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spTimer - Spatio-Temporal Bayesian Modelling
Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.
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3.07 score 2 stars 2 dependents 97 scripts 719 downloadsspTDyn - Spatially Varying and Spatio-Temporal Dynamic Linear Models
Fits, spatially predicts, and temporally forecasts space-time data using Gaussian Process (GP): (1) spatially varying coefficient process models and (2) spatio-temporal dynamic linear models. Bakar et al., (2016). Bakar et al., (2015).
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1.84 score 1 stars 1 dependents 23 scripts 268 downloads