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ctsfeatures

Analyzing Categorical Time Series

v1.2.2 · Jan 29, 2024 · GPL-2

Description

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'.

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OK r-devel-linux-x86_64-debian-clang

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OK r-devel-linux-x86_64-debian-gcc

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dependencies in R code

Namespace in Imports field not imported from: ‘Rdpack’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘Rdpack’
  All declared Imports should be used.
OK r-devel-macos-arm64

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OK r-devel-windows-x86_64

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OK r-oldrel-macos-arm64

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OK r-release-linux-x86_64

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Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-fedora-clang

dependencies in R code

Namespace in Imports field not imported from: ‘Rdpack’
  All declared Imports should be used.
NOTE r-devel-linux-x86_64-fedora-gcc

dependencies in R code

Namespace in Imports field not imported from: ‘Rdpack’
  All declared Imports should be used.

Dependency Network

Dependencies Reverse dependencies ggplot2 astsa latex2exp Rdpack Bolstad2 tsibble ctsfeatures

Version History

new 1.2.2 Mar 9, 2026