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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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r-devel-windows-x86_64 OK
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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.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 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 10, 2026
updated 1.2.2 ← 1.2.1 diff Jan 28, 2024
updated 1.2.1 ← 1.2.0 diff Jan 22, 2024
updated 1.2.0 ← 1.1.0 diff Jan 21, 2024
updated 1.1.0 ← 1.0.0 diff Oct 23, 2023
new 1.0.0 Feb 19, 2023