rrum-package {rrum} | R Documentation |
rrum: Bayesian Estimation of the Reduced Reparameterized Unified 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 (ORCID) [copyright holder]
Authors:
Steven Andrew Culpepper sculpepp@illinois.edu (ORCID) [copyright holder]
Aaron Hudson awhudson@uw.edu (ORCID) [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.
See Also
Useful links:
Report bugs at https://github.com/tmsalab/rrum/issues