Description Author(s) References
bggum provides R tools for the Bayesian estimation of generalized graded
unfolding model (Roberts, Donoghue, and Laughlin 2000) parameters.
Please see the vignette (via vignette("bggum")
) for a practical
guide to Bayesian estimation of GGUM parameters.
Duck-Mayr and Montgomery (2019) provides a more detailed theoretical
discussion of Bayesian estimation of GGUM parameters.
JBrandon Duck-Mayr and Jacob Montgomery
Duck-Mayr, JBrandon, and Jacob Montgomery. 2019. “Ends Against the Middle: Scaling Votes When Ideological Opposites Behave the Same for Antithetical Reasons.” http://jbduckmayr.com/papers/ggum.pdf.
Roberts, James S., John R. Donoghue, and James E. Laughlin. 2000. “A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses.” Applied Psychological Measurement 24(1): 3–32.
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