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

Documentation:

Reference manual:

SpaTimeClus.pdf

Downloads:

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 (arm64): SpaTimeClus_1.0.1.tgz, r-release (x86_64): SpaTimeClus_1.0.1.tgz, r-oldrel: SpaTimeClus_1.0.1.tgz
Old sources:	SpaTimeClus archive

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