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.

AuthorCheam A., Marbac M., and McNicholas P.
Date of publication2016-12-21 11:08:44
MaintainerMatthieu Marbac <matthieu.marbac@gmail.com>
LicenseGPL (>= 2)
Version1.0

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Files

SpaTimeClus/DESCRIPTION
SpaTimeClus/NAMESPACE
SpaTimeClus/R
SpaTimeClus/R/RcppExports.R SpaTimeClus/R/SpaTimeClus.R SpaTimeClus/R/class.R SpaTimeClus/R/summary.R SpaTimeClus/R/tools.R
SpaTimeClus/data
SpaTimeClus/data/airparif.rda
SpaTimeClus/inst
SpaTimeClus/inst/include
SpaTimeClus/inst/include/STCXEM.h
SpaTimeClus/inst/include/STCXEMnonspatial.h
SpaTimeClus/inst/include/STCXEMspatial.h
SpaTimeClus/inst/include/STCdata.h
SpaTimeClus/inst/include/STCmodel.h
SpaTimeClus/inst/include/STCparam.h
SpaTimeClus/inst/include/STCtune.h
SpaTimeClus/man
SpaTimeClus/man/BuildSTCdata.Rd SpaTimeClus/man/STCcriteria-class.Rd SpaTimeClus/man/STCdata-class.Rd SpaTimeClus/man/STCmodel-class.Rd SpaTimeClus/man/STCmodel.Rd SpaTimeClus/man/STCparam-class.Rd SpaTimeClus/man/STCpartitions-class.Rd SpaTimeClus/man/STCresults-class.Rd SpaTimeClus/man/STCtune-class.Rd SpaTimeClus/man/SpaTimeClus-package.Rd SpaTimeClus/man/airparif.Rd SpaTimeClus/man/print-methods.Rd SpaTimeClus/man/spatimeclus.Rd SpaTimeClus/man/summary-methods.Rd
SpaTimeClus/src
SpaTimeClus/src/Makevars
SpaTimeClus/src/Makevars.win
SpaTimeClus/src/RcppExports.cpp
SpaTimeClus/src/STCXEM.cpp
SpaTimeClus/src/STCXEMnonspatial.cpp
SpaTimeClus/src/STCXEMspatial.cpp
SpaTimeClus/src/SpaTimeClus.cpp

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