swMATH ID: 24237
Software Authors: Khandoker Bakar; Sujit Sahu
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/spTimer/index.html
Source Code:  https://github.com/cran/spTimer
Dependencies: R
Keywords: R package; Bayesian spatio-temporal modeling; Markov chain Monte Carlo; Gibbs sampling; autoregressive; predictive processes; Journal of Statistical Software
Related Software: R; spBayes; CODA; fields; CARBayes; gstat; spate; splm; spam; BUGS; maptools; nlme; R-INLA; CARBayesST; Stem; RandomFields; spacetime; geoR; BayesDA; FRK
Cited in: 11 Publications

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