Package: SpaTimeClus
Type: Package
Title: Model-Based Clustering of Spatio-Temporal Data
Version: 1.0.1
Date: 2016-12-21
Author: Cheam A., Marbac M., and McNicholas P.
Maintainer: Matthieu Marbac <matthieu.marbac@gmail.com>
Description: 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.
Imports: methods, Rcpp (>= 0.11.1), parallel
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 2)
Depends: R (>= 3.0.2)
RoxygenNote: 5.0.1
Repository: CRAN
Repository/R-Forge/Project: spatimeclus
Repository/R-Forge/Revision: 19
Repository/R-Forge/DateTimeStamp: 2016-12-21 11:08:44
Date/Publication: 2020-10-14 16:34:34 UTC
NeedsCompilation: yes
Packaged: 2020-10-14 15:39:57 UTC; hornik
Built: R 4.1.0; x86_64-apple-darwin17.0; 2021-02-20 02:01:08 UTC; unix
Archs: SpaTimeClus.so.dSYM
