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idealstan: an R Package for Ideal Point Modeling with Stan

This is a paper that was presented at the StanCon2018 conference on Bayesian inference with the Stan Hamiltonian Markov Chain Monte Carlo (MCMC) method. Video of my talk is available here. Introduction This notebook introduces idealstan, a new R package front-end to Stan that allows for flexible modeling of a class of latent variable models known as ideal point models. Ideal point modeling is a form of dimension reduction, and shares similarities with multi-dimensional scaling, factor analysis and item-response theory.