bggum: bggum

In duckmayr/bggum: Bayesian Estimation of Generalized Graded Unfolding Model Parameters

Description

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.

Author(s)

JBrandon Duck-Mayr and Jacob Montgomery

References

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.

duckmayr/bggum documentation built on Jan. 20, 2020, 5:23 a.m.