Package: STMotif 2.0.0

Heraldo Borges

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.

Authors:Heraldo Borges [aut, cre], Amin Bazaz [aut], Eduardo Ogasawara [aut]

STMotif_2.0.0.tar.gz
STMotif_2.0.0.zip(r-4.5)STMotif_2.0.0.zip(r-4.4)STMotif_2.0.0.zip(r-4.3)
STMotif_2.0.0.tgz(r-4.4-any)STMotif_2.0.0.tgz(r-4.3-any)
STMotif_2.0.0.tar.gz(r-4.5-noble)STMotif_2.0.0.tar.gz(r-4.4-noble)
STMotif_2.0.0.tgz(r-4.4-emscripten)STMotif_2.0.0.tgz(r-4.3-emscripten)
STMotif.pdf |STMotif.html
STMotif/json (API)
NEWS

# Install 'STMotif' in R:
install.packages('STMotif', repos = c('https://heraldoborges.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/heraldoborges/stmotif/issues

Datasets:

On CRAN:

7 exports 2 stars 0.84 score 55 dependencies 12 scripts 278 downloads

Last updated 4 years agofrom:9cc700c5b5. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winNOTEAug 23 2024
R-4.5-linuxNOTEAug 23 2024
R-4.4-winNOTEAug 23 2024
R-4.4-macNOTEAug 23 2024
R-4.3-winNOTEAug 23 2024
R-4.3-macNOTEAug 23 2024

Exports:CSAMiningProcessdisplay_motifsDatasetdisplay_motifsSTSeriesNormSAXRankSTMotifsSearchSTMotifsSTSADatasetAdjust

Dependencies:base64encbslibcachemclicolorspacecommonmarkcrayondigestfansifarverfastmapfontawesomefsggplot2gluegtablehtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangsassscalesshinysourcetoolsstringistringrtibbleutf8vctrsviridisLitewithrxtable

STMotif R Package

Rendered fromSTMotif.Rmdusingknitr::rmarkdownon Aug 23 2024.

Last update: 2020-11-12
Started: 2020-11-12