Package: SeqDetect 1.0.7
Dalibor Krleža
SeqDetect: Sequence and Latent Process Detector
Sequence detector in this package contains a specific automaton model that can be used to learn and detect data and process sequences. Automaton model in this package is capable of learning and tracing sequences. Automaton model can be found in Krleža, Vrdoljak, Brčić (2019) <doi:10.1109/ACCESS.2019.2955245>. This research has been partly supported under Competitiveness and Cohesion Operational Programme from the European Regional and Development Fund, as part of the Integrated Anti-Fraud System project no. KK.01.2.1.01.0041. This research has also been partly supported by the European Regional Development Fund under the grant KK.01.1.1.01.0009.
Authors:
SeqDetect_1.0.7.tar.gz
SeqDetect_1.0.7.tar.gz(r-4.5-noble)SeqDetect_1.0.7.tar.gz(r-4.4-noble)
SeqDetect_1.0.7.tgz(r-4.4-emscripten)SeqDetect_1.0.7.tgz(r-4.3-emscripten)
SeqDetect.pdf |SeqDetect.html✨
SeqDetect/json (API)
# Install 'SeqDetect' in R: |
install.packages('SeqDetect', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:9bc9397105. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 20 2024 |
Exports:bpi_challenge_2019_test1c_to_stringclassifydeserializeFromListHSC_PCHSC_PC_AttributeHSC_PC_BinningHSC_PC_NoneHSC_PPHybridSequenceClassifierpreprocesssales_dataset_testsepsis_dataset_testsynthetic_test_agenda
Dependencies:clicpp11dplyreventdataRfansigenericsglueigraphlatticelifecyclemagrittrMatrixpillarpkgconfigR6Rcpprlangtibbletidyselectutf8vctrswithr