R: rrum: Bayesian Estimation of 'RRUM' Model with Gibbs Sampling

rrum-package {rrum} | R Documentation

## rrum: Bayesian Estimation of 'RRUM' Model with Gibbs Sampling

### Description

Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('RRUM'), described by Culpepper and Hudson (2017) <doi: 10.1177/0146621617707511>.

### Details

Implemention of a Bayesian estimation for the reduced Reparameterized Unified Model (rRUM).

### Author(s)

Maintainer: James Joseph Balamuta balamut2@illinois.edu (0000-0003-2826-8458) [copyright holder]

Authors:

- Steven Andrew Culpepper sculpepp@illinois.edu (0000-0003-4226-6176) [copyright holder]

- Aaron Hudson awhudson@uw.edu (0000-0002-9731-2224) [copyright holder]

### References

Culpepper, S. A. & Hudson, A. (In Press). An improved strategy for Bayesian estimation of the reduced reparameterized unified model. Applied Psychological Measurement.

Hudson, A., Culpepper, S. A., & Douglas, J. (2016, July). Bayesian estimation of the generalized NIDA model with Gibbs sampling. Paper presented at the annual International Meeting of the Psychometric Society, Asheville, North Carolina.

[Package rrum version 0.2.0 Index]