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arXiv · 2101.02506

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

Gregor Zens·Sylvia Frühwirth-Schnatter·Helga Wagner
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Abstract

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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Gregor Zens, Sylvia Frühwirth-Schnatter, Helga Wagner. 2021-01-07. Efficient Bayesian Modeling of Binary and Categorical Data in R: The UPG Package. https://arxiv.org/abs/2101.02506

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