Analyzing Categorical Time Series

Documentation for package ‘ctsfeatures’ version 1.2.2

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