SpaTimeClus: Model-Based Clustering of Spatio-Temporal Data

Mixture model is used to achieve the clustering goal. Each component is itself a mixture model of polynomial autoregressive regressions whose the logistic weights consider the spatial and temporal information.

Version: 1.0
Depends: R (≥ 3.0.2)
Imports: methods, Rcpp (≥ 0.11.1), parallel
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-12-21
Author: Cheam A., Marbac M., and McNicholas P.
Maintainer: Matthieu Marbac <matthieu.marbac at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: SpatioTemporal
CRAN checks: SpaTimeClus results


Reference manual: SpaTimeClus.pdf
Package source: SpaTimeClus_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: SpaTimeClus_1.0.tgz, r-oldrel: SpaTimeClus_1.0.tgz


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