| pln-package {pln} | R Documentation |
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 cffalk@gmail.com, Harry Joe
Maintainer: Carl F. Falk cffalk@gmail.com
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.