lca_entropy help file

The installed help file, rendered for the web

This page is generated from lca_entropy.sthlp by build.do, so it matches the installed version. In Stata, type help lca_entropy.

Title

lca_entropy – Calculates an entropy statistic for latent class analysis (LCA) models

General syntax

lca_entropy , options

Overview

lca_entropy calculates an entropy statistic for latent class analysis (LCA) models. The LCA must have been fit using gsem with the lclass( ) option.

Options

Option Description
model(string) specifies the name of saved model estimates to use. See estimates store for saving model estimates. By default, lca_entropy will use the gsem estimates in memory. If the relevant model estimates are not in memory, you must specify their name.
decimals(#) changes the number of decimal places reported for the entropy statistic. The default is 3. Any integer between 1 - 5 is allowed.

Examples

use http://www.stata-press.com/data/r15/gsem_lca1, clear
gsem ( -> accident play insurance stock), logit lclass(C 2)
lca_entropy

Returns

The entropy statistics is returned as r(entropy).

Authorship

irt_me is written by Trenton D Mize (Departments of Sociology & Statistics [by courtesy] & The Methodology Center at Purdue University). Questions can be sent to tmize@purdue.edu

Citation

Please cite use of lca_entropy as:

  • Mize, Trenton D. 2024 “lca_entropy: Stata command for entropy fit statistics for latent class analysis.” https://www.trentonmize.com/software/lca_entropy

References

The entropy statistic is calculated using the formula shown in Collins and Lanza (2010) page 75.

Collins, Linda M. and Stephanie T. Lanza. 2010. Latent Class and Latent Transition Analysis. Wiley.

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