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About
Bayesian Beta Regression, adapted for bounded discrete responses, commonly seen in survey responses. Estimation is done via Markov Chain Monte Carlo sampling, using a Gibbs wrapper around univariate slice sampler (Neal (2003) doi:10.1214/aos/1056562461), as implemented in the R package MfUSampler (Mahani and Sharabiani (2017) doi:10.18637/jss.v078.c01).
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