Data from: Digging through model complexity: using hierarchical models to uncover evolutionary processes in the wild

Mathieu Buoro, Etienne Prévost & Olivier Gimenez
The growing interest for studying questions in the wild requires acknowledging that eco-evolutionary processes are complex, hierarchically structured and often partially observed or with measurement error. These issues have long been ignored in evolutionary biology, which might have led to flawed inference when addressing evolutionary questions. Hierarchical modelling (HM) has been proposed as a generic statistical framework to deal with complexity in ecological data and account for uncertainty. However, to date, HM has seldom been...
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