Analyzing Categorical Time Series
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Documentation for package ‘ctsfeatures’ version 1.0.0
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| binarization | Constructs the binarized time series associated with a given categorical time series |
| chebycheff_dispersion | Computes the Chebycheff dispersion of a categorical time series |
| cohens_kappa | Computes the Cohen's kappa of a categorical time series |
| conditional_probabilities | Computes the conditional probabilities of a categorical time series |
| cramers_vi | Computes the Cramer's vi of a categorical time series |
| cts_plot | Constructs a categorical time series plot |
| cycle_control_chart | Constructs a control chart for the cycle lengths of a categorical series |
| entropy | Computes the entropy of a categorical time series |
| GeneticSequences | GeneticSequences |
| gini_index | Computes the gini index of a categorical time series |
| gk_lambda | Computes the Goodman and Kruskal's lambda of a categorical time series |
| gk_tau | Computes the Goodman and Kruskal's tau of a categorical time series |
| ifs_circle_transformation | Constructs the IFS circle transformation of a categorical time series |
| joint_probabilities | Computes the joint probabilities of a categorical time series |
| marginal_control_chart | Constructs a control chart for the marginal distribution of a categorical series |
| marginal_probabilities | Computes the marginal probabilities of a categorical time series |
| pattern_histogram | Constructs the pattern histogram associated with a given category of a categorical time series |
| pearson_measure | Computes the Pearson measure of a categorical time series |
| phi2_measure | Computes the Phi2 measure of a categorical time series |
| plot_cohens_kappa | Constructs a serial dependence plot based on Cohen's kappa |
| plot_cramers_vi | Constructs a serial dependence plot based on Cramer's vi |
| ProteinSequences | ProteinSequences |
| rate_evolution_graph | Constructs the rate evolution graph for a categorical time series |
| sakoda_measure | Computes the Sakoda measure of a categorical time series |
| spectral_envelope | Computes the spectral envelope of a categorical time series |
| SyntheticData1 | SyntheticData1 |
| SyntheticData2 | SyntheticData2 |
| SyntheticData3 | SyntheticData3 |
| total_correlation | Computes the total correlation of a categorical time series |
| total_mixed_correlation_1 | Computes the total mixed l-correlation between a categorical and a real-valued time series |
| total_mixed_correlation_2 | Computes the total mixed q-correlation between a categorical and a real-valued time series |
| uncertainty_coefficient | Computes the uncertainty coefficient of a categorical time series |