Implementation of Gibbs sampling algorithm for Bayesian Estimation of the Reduced Reparameterized Unified Model ('rrum'), described by Culpepper and Hudson (2017) tools:::Rd_expr_doi(" 10.1177/0146621617707511").
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]
Implemention of a Bayesian estimation for the reduced Reparameterized Unified Model (rRUM).
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.
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