Estimating random effects in a finite Markov chain with absorbing states: Application to cognitive data
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Finite Markov chains with absorbing states are popular tools for analyzing longitudinal data with categorical responses. The one step transition probabilities can be defined in terms of fixed and random effects but it is difficult to estimate these effects due... ...
