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: 1.0.1
Depends: R (≥ 3.0.2)
Imports: methods, Rcpp (≥ 0.11.1), parallel
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-10-14
Author: Cheam A., Marbac M., and McNicholas P.
Maintainer: Matthieu Marbac <matthieu.marbac at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: SpatioTemporal
CRAN checks: SpaTimeClus results

Downloads:

Reference manual: SpaTimeClus.pdf
Package source: SpaTimeClus_1.0.1.tar.gz
Windows binaries: r-devel: SpaTimeClus_1.0.1.zip, r-release: SpaTimeClus_1.0.1.zip, r-oldrel: SpaTimeClus_1.0.1.zip
macOS binaries: r-release: SpaTimeClus_1.0.1.tgz, r-oldrel: SpaTimeClus_1.0.1.tgz
Old sources: SpaTimeClus archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SpaTimeClus to link to this page.