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  "Title": "Bayesian Measurement Models for Analyzing Endorsement\nExperiments",
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  "Maintainer": "Yuki Shiraito <shiraito@umich.edu>",
  "Description": "Fit the hierarchical and non-hierarchical Bayesian\nmeasurement models proposed by Bullock, Imai, and Shapiro\n(2011) <DOI:10.1093/pan/mpr031> to analyze endorsement\nexperiments.  Endorsement experiments are a survey methodology\nfor eliciting truthful responses to sensitive questions.  This\nmethodology is helpful when measuring support for socially\nsensitive political actors such as militant groups.  The model\nis fitted with a Markov chain Monte Carlo algorithm and\nproduces the output containing draws from the posterior\ndistribution.",
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