We propose a unifying framework for multilevel modeling of polytomous data and rankings,
accommodating dependence induced by factor and/or random coefficient structures at …

Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of
multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of …

Models for fitting longitudinal binary responses are explored by using a panel study of voting
intentions. A standard multilevel repeated measures logistic model is shown to be …

The use of the multinomial logit model is typically restricted to applications with few
predictors, because in high-dimensional settings maximum likelihood estimates tend to …

This study provides a Bayesian investigation of rank‐ordered multinominal logit models
employing conjugate priors for standard multinomial logit models as well as other priors …

Reflecting the usefulness of multilevel analysis and the importance of categorical outcomes
in many areas of research, generalization of multilevel models for categorical outcomes has …

We review some of the work of the past ten years that applied the multilevel logit model. We
attempt to provide a brief description of the hypothesis tested, the hierarchical data structure …

A grade of membership (GoM) model is an individual level mixture model which allows
individuals have partial membership of the groups that characterize a population. A GoM …

This paper presents the R package PlackettLuce, which implements a generalization of the
Plackett–Luce model for rankings data. The generalization accommodates both ties (of …

Multilevel modelling is sometimes used for data from complex surveys involving multistage
sampling, unequal sampling probabilities and stratification. We consider generalized linear …