rrum-package: rrum: Bayesian Estimation of the Reduced Reparameterized...

In rrum: Bayesian Estimation of the Reduced Reparameterized Unified Model with Gibbs Sampling

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) \Sexpr[results=rd]{tools:::Rd_expr_doi(" 10.1177/0146621617707511")}.

Details

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

Author(s)

Maintainer: James Joseph Balamuta [e-mail] (ORCID) [copyright holder]

Authors:

• Steven Andrew Culpepper [e-mail] (ORCID) [copyright holder]

• Aaron Hudson [e-mail] (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:

• https://tmsalab.github.io/rrum/

• https://github.com/tmsalab/rrum

• Report bugs at https://github.com/tmsalab/rrum/issues

rrum documentation built on May 29, 2024, 6:15 a.m.