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'.

Getting started

Package details

AuthorAngel Lopez-Oriona [aut, cre], Jose A. Vilar [aut]
MaintainerAngel Lopez-Oriona <oriona38@hotmail.com>
LicenseGPL-2
Version1.2.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ctsfeatures")

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ctsfeatures documentation built on May 29, 2024, 11:37 a.m.