GRShiny-package: Full information maximum likelihood estimation of IRT models.
In GRShiny: Graded Response Model
GRShiny-package R Documentation
Full information maximum likelihood estimation of IRT models.
Description
Graded response models with different estimators
Details
Analysis of polytomous response data using
unidimensional and multidimensional latent trait models under the Structure
Equation Modeling paradigm. Confirmatory graded response models can be estimated
with ML and WLS estimators. GRM data can be simulated and analyzed.
Finally, an interactive Shiny application for running a GRM analysis is supported.l
Author(s)
Sooyong Lee sooyongl09@utexas.edu
GRShiny documentation built on May 4, 2023, 1:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| GRShiny-package | R Documentation |
Full information maximum likelihood estimation of IRT models.
Description
Graded response models with different estimators
Details
Analysis of polytomous response data using unidimensional and multidimensional latent trait models under the Structure Equation Modeling paradigm. Confirmatory graded response models can be estimated with ML and WLS estimators. GRM data can be simulated and analyzed. Finally, an interactive Shiny application for running a GRM analysis is supported.l
Author(s)
Sooyong Lee sooyongl09@utexas.edu
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.