| C | Estimation of total correlation for a set of categorical random variables. |
| categorical_sample_size | Estimate the sample size for a variable in function of its categories. |
| H | Estimation of Shannon entropy for a categorical variable. |
| IG | Estimating information gain between two categorical variables. |
| information_gain | Estimating information gain between two categorical variables. |
| joint_H | Estimation of the Joint Shannon entropy for two categorical variables. |
| joint_shannon_entropy | Estimation of the Joint Shannon entropy for two categorical variables. |
| msu | Estimating Multivariate Symmetrical Uncertainty. |
| multivar_joint_H | Estimation of joint Shannon entropy for a set of categorical variables. |
| multivar_joint_shannon_entropy | Estimation of joint Shannon entropy for a set of categorical variables. |
| new_informative_variable | Create an informative uniform categorical random variable. |
| new_variable | Create a uniform categorical random variable. |
| new_xor_variables | Create a set of categorical variables using the logical XOR operator. |
| rel_freq | Relative frequency of values of a categorical variable. |
| sample_size | Estimate the sample size for a categorical variable. |
| shannon_entropy | Estimation of Shannon entropy for a categorical variable. |
| SU | Estimating Symmetrical Uncertainty of two categorical variables. |
| symmetrical_uncertainty | Estimating Symmetrical Uncertainty of two categorical variables. |
| total_correlation | Estimation of total correlation for a set of categorical random variables. |