relative_entropy: The Relative Entropy

In hlennon/LCTMtools: Latent Class Trajectory Models: Tools for checking adequacy

The Relative Entropy

Description

The Relative Entropy

Usage

relative_entropy(p)

Arguments

p	is the posterior probabilities of assignment of dimensions, K columns and N rows

Value

Relative Entropy - where values close to 1 indicate lowest classification uncertainty. In the special case when there is most uncertainty and each individual has equal probability of belonging to each class, E_K=0. Jedidi et al., describes relative entropy as a relative measure of ‘fuzziness’, and suggested cause concern when close to zero, as this implies that the latent class centroids are not sufficiently separated.

Examples

## Not run: relative_entropy(p)

hlennon/LCTMtools documentation built on Dec. 6, 2022, 3:04 a.m.