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otsfeatures

Ordinal Time Series Analysis

v1.0.0 · Mar 1, 2023 · GPL-2

Description

An implementation of several functions for feature extraction in ordinal time series datasets. Specifically, some of the features proposed by Weiss (2019) <doi:10.1080/01621459.2019.1604370> can be computed. These features can be used to perform inferential tasks or to feed machine learning algorithms for ordinal time series, among others. The package also includes some interesting datasets containing financial time series. Practitioners from a broad variety of fields could benefit from the general framework provided by 'otsfeatures'.

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dependencies in R code

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

dependencies in R code

Namespaces in Imports field not imported from:
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  All declared Imports should be used.

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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

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

dependencies in R code

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

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Dependency Network

Dependencies Reverse dependencies ggplot2 astsa latex2exp Rdpack Bolstad2 otsfeatures

Version History

1 tracked
new 1.0.0 Mar 10, 2026

R Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Mar 1, 2023. Releases before tracking aren’t shown.