search for: samejima

I have used R a lot in the past, but never for simulation. I have a code in SAS for the Graded Response Model (GRM), also known as Samejima's model. This code simulates an ordinal response, provided item characteristics (A=item discrimination, BB(G) are thresholds between various categorical responses). It is a macro file. I am thinking that I can write this as a function, and call it up inside a simulation code. Here is the SA...

...This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model with up to two latent variables (allowing also for nonlinear terms), and Samejima's Graded Response model. Furthermore, supporting functions for descriptive statistics, goodness-of-fit, ability estimation and plotting are available. New features include: * The new functions person.fit() and item.fit() compute p-values for person- and item-fit statistics for IRT models...

...This package provides a flexible framework for analyzing dichotomous and polytomous data under IRT, including the Rasch model, the Two-Parameter Logistic model, Birnbaum's Three-Parameter model, the Latent Trait model with up to two latent variables (allowing also for nonlinear terms), and Samejima's Graded Response model. Furthermore, supporting functions for descriptive statistics, goodness-of-fit, ability estimation and plotting are available. New features include: * The new functions person.fit() and item.fit() compute p-values for person- and item-fit statistics for IRT models...