pln-package: Polytomous Logit-Normit (Graded Logistic) Model Estimation

In pln: Polytomous Logit-Normit (Graded Logistic) Model Estimation

Description

Performs bivariate composite likelihood and full information maximum likelihood estimation for polytomous logit-normit (graded logistic) item response theory (IRT) models.

Details

Package:	pln
Type:	Package
Version:	0.2-2
Date:	2020-07-28
License:	GPL-3
LazyLoad:	yes

This package currently contains several functions performing estimation of unidimensional (single latent trait) polytomous logit-normit models (also known graded logistic) using bivariate composite likelihood and full information maximum likelihood estimation.

Acknowledgment

Some code from the ltm package (version 0.9-7) was modified for counting the frequency of response patterns.

Author(s)

Carl Falk [e-mail], Harry Joe

Maintainer: Carl F. Falk [e-mail]

References

Bartholomew, D., Knott, M., and Moustaki, I. (2011). Latent Variable Models and Factor Analysis: A Unified Approach, 3rd Edition. Wiley.

Maydeu-Olivares, A., and Joe, H. (2005). Limited and full information estimation and goodness-of-fit testing in 2^n contingency tables: A unified framework. Journal of the American Statistical Association, 100, 1009-1020.

Maydeu-Olivares, A., and Joe, H. (2006). Limited information and goodness-of-fit testing in multidimensional contingency tables. Psychometrika, 71, 713-732.

Varin, C., Reid, N. and Firth, D. (2011). An overview of composite likelihood methods. Statistica Sinica, 21, 5-42.

pln documentation built on July 30, 2020, 1:06 a.m.