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: | 2.0.1 |
| Imports: | stats, ggplot2, reshape2, scales, grDevices, RColorBrewer, shiny |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2020-11-14 |
| 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: | GPL-2 | GPL-3 |
| URL: | https://github.com/heraldoborges/STMotif/wiki |
| NeedsCompilation: | no |
| Citation: | STMotif citation info |
| Materials: | NEWS |
| CRAN checks: | STMotif results |
| Reference manual: | STMotif.pdf |
| Vignettes: |
STMotif R Package |
| Package source: | STMotif_2.0.1.tar.gz |
| Windows binaries: | r-devel: STMotif_2.0.1.zip, r-release: STMotif_2.0.1.zip, r-oldrel: STMotif_2.0.1.zip |
| macOS binaries: | r-release: STMotif_2.0.1.tgz, r-oldrel: STMotif_2.0.1.tgz |
| Old sources: | STMotif archive |
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