Package: STMotif
Type: Package
Title: Discovery of Motifs in Spatial-Time Series
Version: 2.0.3
Authors@R: c(
    person("Heraldo", "Borges", email = "stmotif@eic.cefet-rj.br", role = c("aut", "cre"), comment = "CEFET/RJ"),
    person("Amin", "Bazaz", role = c("aut"), comment = "Polytech'Montpellier"),
    person("Esther", "Pacciti", role = c("aut"), comment = "INRIA/Polytech'Montpellier"),
    person("Eduardo", "Ogasawara", role = c("aut"), comment = "CEFET/RJ"))
Maintainer: Heraldo Borges <stmotif@eic.cefet-rj.br>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2 (>= 3.4.0), scales, RColorBrewer, rlang, stats,
        grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
RoxygenNote: 7.3.3
URL: https://github.com/heraldoborges/STMotif
BugReports: https://github.com/heraldoborges/STMotif/issues
NeedsCompilation: no
Packaged: 2026-03-29 21:47:22 UTC; heraldoborges
Author: Heraldo Borges [aut, cre] (CEFET/RJ),
  Amin Bazaz [aut] (Polytech'Montpellier),
  Esther Pacciti [aut] (INRIA/Polytech'Montpellier),
  Eduardo Ogasawara [aut] (CEFET/RJ)
Repository: CRAN
Date/Publication: 2026-03-29 22:30:01 UTC
Built: R 4.6.0; ; 2026-04-28 11:52:31 UTC; unix
