• Corpus ID: 230799377

Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package

@inproceedings{Zens2021EfficientBM,
  title={Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package},
  author={Gregor Zens and Sylvia Fruhwirth-Schnatter and Helga Wagner},
  year={2021}
}
In this vignette, we introduce the UPG package for efficient Bayesian inference in probit, logit, multinomial logit and binomial logit models. UPG offers a convenient estimation framework for balanced and imbalanced data settings where sampling efficiency is ensured through marginal data augmentation. UPG provides several methods for fast production of output tables and summary plots that are easily accessible to a broad range of users. 
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