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; gstat; fields; spate; RandomFields; spacetime; CARBayes; R-INLA; FRK; spam; geoR; splm; nlme; BUGS; maptools; CARBayesST; Stem; BayesDA
Cited in: 12 Documents

Standard Articles

1 Publication describing the Software Year
spTimer: Spatio-Temporal Bayesian Modeling Using R Link
Khandoker Bakar; Sujit Sahu

Citations by Year