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STMotif: Discovery of Motifs in Spatial-Time Series

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

Version: 2.0.2
Imports: stats, ggplot2, reshape2, scales, grDevices, RColorBrewer
Suggests: knitr, rmarkdown, testthat
Published: 2024-02-23
DOI: 10.32614/CRAN.package.STMotif
Author: Heraldo Borges [aut, cre] (CEFET/RJ), Amin Bazaz [aut] (Polytech'Montpellier), Esther Pacciti [aut] (INRIA/Polytech'Montpellier), Eduardo Ogasawara [aut] (CEFET/RJ)
Maintainer: Heraldo Borges <stmotif at eic.cefet-rj.br>
BugReports: https://github.com/heraldoborges/STMotif/issues
License: MIT + file LICENSE
URL: https://github.com/heraldoborges/STMotif/wiki
NeedsCompilation: no
Materials: NEWS
CRAN checks: STMotif results

Documentation:

Reference manual: STMotif.pdf
Vignettes: Spatial-Time Motif Discovery with STMotif

Downloads:

Package source: STMotif_2.0.2.tar.gz
Windows binaries: r-devel: STMotif_2.0.2.zip, r-release: STMotif_2.0.2.zip, r-oldrel: STMotif_2.0.2.zip
macOS binaries: r-release (arm64): STMotif_2.0.2.tgz, r-oldrel (arm64): STMotif_2.0.2.tgz, r-release (x86_64): STMotif_2.0.2.tgz, r-oldrel (x86_64): STMotif_2.0.2.tgz
Old sources: STMotif archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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