Functions for simulating realizations from the posterior distribution of a latent trait of an item response model. Distributions are conditional on one or a subset of response patterns (e.g., sum scores). Functions for computing likelihoods, Fisher and observed information, posterior modes, and profile likelihood confidence intervals are also included. These functions are designed to be easily amenable to user-specified models.
|Author||Timothy R. Johnson|
|Maintainer||Timothy R. Johnson <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.