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As of version 0.6. 5, the package has been greatly revised to allow a wider range of response and link functions and to allow models with multiple random effects. For now, the resulting package is slower than the old (single-randomeffect version), but we hope to increase its speed in the future. In order to use glmmADMB effectively you should already be reasonably familiar with generalized linear mixed models (GLMMs), which in turn requires familiarity with (i) generalized linear models (eg the special cases of logistic, binomial, and Poisson regression) and (ii)‘modern’mixed models (those working via maximization of the marginal likelihood rather than by manipulating sums of squares).