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gstsm: Generalized Spatial-Time Sequence Miner

Implementations of the algorithms present article Generalized Spatial-Time Sequence Miner, original title (Castro, Antonio; Borges, Heraldo ; Pacitti, Esther ; Porto, Fabio ; Coutinho, Rafaelli ; Ogasawara, Eduardo . Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. In: XXXVI SBBD - Simpósio Brasileiro de Banco de Dados, 2021 <doi:10.5753/sbbd.2021.17891>).

Version: 1.0.0
Imports: digest
Suggests: testthat (≥ 3.0.0)
Published: 2022-10-19
DOI: 10.32614/CRAN.package.gstsm
Author: Antonio Castro [aut, cre], Cássio Souza [aut, ctb], Jorge Rodrigues [aut, ctb], Esther Pacitti [aut], Fábio Porto [aut], Florent Masseglia [aut], Rafaelli Coutinho [aut, ths], Eduardo Ogasawara ORCID iD [aut, ths], Federal Center for Technological Education of Rio de Janeiro [cph]
Maintainer: Antonio Castro <gstsm at eic.cefet-rj.br>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gstsm results

Documentation:

Reference manual: gstsm.pdf

Downloads:

Package source: gstsm_1.0.0.tar.gz
Windows binaries: r-devel: gstsm_1.0.0.zip, r-release: gstsm_1.0.0.zip, r-oldrel: gstsm_1.0.0.zip
macOS binaries: r-release (arm64): gstsm_1.0.0.tgz, r-oldrel (arm64): gstsm_1.0.0.tgz, r-release (x86_64): gstsm_1.0.0.tgz, r-oldrel (x86_64): gstsm_1.0.0.tgz
Old sources: gstsm archive

Linking:

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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.