R: Multivariate Symmetric Uncertainty and Other Measurements

# Multivariate Symmetric Uncertainty and Other Measurements

## Documentation for package ‘msu’ version 0.0.1

- DESCRIPTION file

## Help Pages

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.