Software - Latent Trait and Latent Class Analysis
This section contains models in the area of Latent Trait and Latent Class Analysis.
For software in other areas, go to the general overview of software.
For Latent Trait and Latent Class Analysis, the following software is available:
- R package for fitting latent trait models under the item response theory approach
- Bayesian latent class analysis of conditionally dependent diagnostic tests
| R PACKAGE FOR FITTING LATENT TRAIT MODELS UNDER THE ITEM RESPONSE THEORY APPROACH | ||||
|---|---|---|---|---|
| Program: ltm | Version: 0.7-0 | Software: R | Version: >=2.3.0 | Last updated: 01/12/2006 |
| Prepared by: | Dimitris Rizopoulos | |||
Description: | Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, and the Graded Response Models. The source code, the Windows binary and the manual are available for download. The software is available under the GPL license version 2 or later. Also downloadable from CRAN. Documentation can also be found on Wiki and on www.jstatsoft.org. | |||
| download (size 620KB) | ||||
| top | ||||
| BAYESIAN LATENT CLASS ANALYSIS OF CONDITIONALLY DEPENDENT DIAGNOSTIC TESTS | ||||
| Program: LCMS.zip | Version: 1 | Software: R/Winbugs | Version: 2.3.1/1.4 | Last updated: 09/05/2008 |
| Prepared by: | Joris Menten | |||
Description: | Example programs, functions, and data for fitting and assessing Bayesian latent class models with conditionally dependent diagnostic tests using WinBugs called from within R. Reference: Menten J., Boelaert M. and Lesaffre E. "Bayesian latent class models with conditionally dependent diagnostic tests: a case study." Accepted for publication in Statistics in Medicine (2008). | |||
| download (size 34KB) | ||||
| top | ||||
© 2009 I-BioStat
last update: 14-11-2009
last update: 14-11-2009
