Package: ctsfeatures 1.2.2

ctsfeatures: Analyzing Categorical Time Series

An implementation of several functions for feature extraction in categorical time series datasets. Specifically, some features related to marginal distributions and serial dependence patterns can be computed. These features can be used to feed clustering and classification algorithms for categorical time series, among others. The package also includes some interesting datasets containing biological sequences. Practitioners from a broad variety of fields could benefit from the general framework provided by 'ctsfeatures'.

Authors:Angel Lopez-Oriona [aut, cre], Jose A. Vilar [aut]

ctsfeatures_1.2.2.tar.gz
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ctsfeatures_1.2.2.tgz(r-4.4-any)ctsfeatures_1.2.2.tgz(r-4.3-any)
ctsfeatures_1.2.2.tar.gz(r-4.5-noble)ctsfeatures_1.2.2.tar.gz(r-4.4-noble)
ctsfeatures_1.2.2.tgz(r-4.4-emscripten)ctsfeatures_1.2.2.tgz(r-4.3-emscripten)
ctsfeatures.pdf |ctsfeatures.html✨
ctsfeatures/json (API)

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

16 exports 1 stars 0.49 score 46 dependencies 1 scripts 286 downloads

Last updated 8 months agofrom:e611d41570. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:binarizationcalculate_featurescalculate_motifscalculate_subfeaturesconditional_probabilitiesjoint_probabilitiesmarginal_probabilitiesplot_cccplot_cohenplot_cramerplot_ctsplot_ifsctplot_mccplot_phplot_regplot_se

Dependencies:anytimeastsaBHBolstad2clicolorspacecpp11dplyrellipsisfansifarvergenericsggplot2gluegtableisobandlabelinglatex2explatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rbibutilsRColorBrewerRcppRdpackrlangscalesstringistringrtibbletidyselecttimechangetsibbleutf8vctrsviridisLitewithr