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'.
| Version: |
1.0.0 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
ggplot2, astsa, latex2exp, Rdpack, Bolstad2 |
| Published: |
2023-02-20 |
| Author: |
Angel Lopez-Oriona [aut, cre],
Jose A. Vilar [aut] |
| Maintainer: |
Angel Lopez-Oriona <oriona38 at hotmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
ctsfeatures results |
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