HMMTree: A computer program for latent-class hierarchical multinomial processing tree models
Stahl, C. & Klauer, K. C. (2007). HMMTree: A computer program for latent-class hierarchical multinomial processing tree models. Behavior Research Methods, 39, 267-273. [PDF]
Abstract: Latent-class hierarchical multinomial models are an important extension to the widely-used family of multinomial processing tree models: they allow for testing of the parameter homogeneity assumption and provide a framework for modeling parameter heterogeneity. In this article, the computer program HMMTree is introduced that implements latent-class hierarchical multinomial processing tree models. HMMTree computes parameter estimates, confidence intervals, and goodness-of-fit statistics for these models, as well as the Fisher information, expected category means and variances, and posterior probabilities for class membership. A brief guide to using the program is provided.
- Klauer, K. C. (2006). Hierarchical multinomial processing tree models: A latent-class approach. Psychometrika, 71, 1-31. [download PDF here]
Download and install HMMTree:
HMMTree (Installation file, 5.2 MB) [v 0.9.9.5]