AustrianWages |
AustrianWages |
binarization |
Constructs the binarized time series associated with a given ordinal time series |
ci_ordinal_asymmetry |
Constructs a confidence interval for the ordinal asymmetry (block distance) |
ci_ordinal_dispersion |
Constructs a confidence interval for the ordinal dispersion (block distance) |
ci_ordinal_skewness |
Constructs a confidence interval for the ordinal skewness (block distance) |
conditional_probabilities |
Computes the conditional probabilities of an ordinal time series |
CreditRatings |
CreditRatings |
c_binarization |
Constructs the cumulative binarized time series associated with a given ordinal time series |
c_conditional_probabilities |
Computes the cumulative conditional probabilities of an ordinal time series |
c_joint_probabilities |
Computes the cumulative joint probabilities of an ordinal time series |
c_marginal_probabilities |
Computes the cumulative marginal probabilities of an ordinal time series |
index_ordinal_variation |
Computes the estimated index of ordinal variation (IOV) of an ordinal time series |
joint_probabilities |
Computes the joint probabilities of an ordinal time series |
marginal_probabilities |
Computes the marginal probabilities of an ordinal time series |
ordinal_asymmetry |
Computes the estimated asymmetry of an ordinal time series |
ordinal_cohens_kappa |
Computes the estimated ordinal Cohen's kappa of an ordinal time series |
ordinal_dispersion_1 |
Computes the standard estimated dispersion of an ordinal time series |
ordinal_dispersion_2 |
Computes the estimated dispersion of an ordinal time series according to the approach based on the diversity coefficient (DIVC) |
ordinal_location_1 |
Computes the standard estimated location of an ordinal time series |
ordinal_location_2 |
Computes the estimated location of an ordinal time series with respect to the lowest category |
ordinal_skewness |
Computes the estimated skewness of an ordinal time series |
ots_plot |
Constructs an ordinal time series plot |
plot_ordinal_cohens_kappa |
Constructs a serial dependence plot based on the ordinal Cohen's kappa considering the block distance |
SyntheticData1 |
SyntheticData1 |
SyntheticData2 |
SyntheticData2 |
SyntheticData3 |
SyntheticData3 |
test_ordinal_asymmetry |
Performs the hypothesis test associated with the ordinal asymmetry for the block distance |
test_ordinal_dispersion |
Performs the hypothesis test associated with the ordinal dispersion for the block distance |
test_ordinal_skewness |
Performs the hypothesis test associated with the ordinal skewness for the block distance |
total_c_correlation |
Computes the total cumulative correlation of an ordinal time series |
total_mixed_c_correlation_1 |
Computes the total mixed cumulative linear correlation (TMCLC) between an ordinal and a real-valued time series |
total_mixed_c_correlation_2 |
Computes the total mixed cumulative quantile correlation (TMCQC) between an ordinal and a real-valued time series |