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Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects
Abstract We propose a discrete random effects multinomial regression model to deal with estimation and inference issues in the case of categorical and hierarchical data. Random effects are assumed to follow a discrete distribution with an a priori unknown number of support points. For a K -categories response, the modelling …