R: Analyzing Categorical Time Series

# Analyzing Categorical Time Series

## Documentation for package ‘ctsfeatures’ version 1.2.2

- DESCRIPTION file

## Help Pages

binarization | Constructs the binarized time series associated with a given categorical time series
calculate_features | Computes several features associated with a categorical time series
calculate_motifs | Computes the relative frequency of motifs in a categorical time series
calculate_subfeatures | Computes several subfeatures associated with a categorical time series
conditional_probabilities | Computes the conditional probabilities of a categorical time series
GeneticSequences | GeneticSequences
joint_probabilities | Computes the joint probabilities of a categorical time series
marginal_probabilities | Computes the marginal probabilities of a categorical time series
plot_ccc | Constructs a control chart for the cycle lengths of a categorical series
plot_cohen | Constructs a serial dependence plot based on Cohen's kappa
plot_cramer | Constructs a serial dependence plot based on Cramer's vi
plot_cts | Constructs a categorical time series plot
plot_ifsct | Constructs the IFS circle transformation of a categorical time series
plot_mcc | Constructs a control chart for the marginal distribution of a categorical series
plot_ph | Constructs the pattern histogram associated with a given category of a categorical time series
plot_reg | Constructs the rate evolution graph for a categorical time series
plot_se | Represents the spectral envelope of a categorical time series
ProteinSequences | ProteinSequences
SleepStages | SleepStages
SyntheticData1 | SyntheticData1
SyntheticData2 | SyntheticData2
SyntheticData3 | SyntheticData3