msu (version 0.0.1)

multivar_joint_shannon_entropy: Estimation of joint Shannon entropy for a set of categorical variables.

Description

The multivariate joint Shannon entropy provides an estimation of the measure of the uncertainty associated with a set of variables (see https://en.wikipedia.org/wiki/Joint_entropy).

Usage

multivar_joint_shannon_entropy(table_variables, table_class)
multivar_joint_H(table_variables, table_class)

Arguments

table_variables

A list of factors as categorical variables.

table_class

A factor representing the class of the case.

Value

Joint Shannon entropy estimation for the variable set table.variables, table.class.

See Also

shannon_entropy for the entropy for a single variable and joint_shannon_entropy for the entropy associated with two random variables.

Examples

# NOT RUN {
multivar_joint_shannon_entropy(list(factor(c(0,1)), factor(c(1,0))),
    factor(c(1,1)))
# }