Data from: The summary-likelihood method and its implementation in the Infusion package

Francois Rousset, Alexandre Gouy, Camille Martinez-Almoyna & Alexandre Courtiol
In recent years, simulation methods such as approximate Bayesian computation have extensively been used to infer parameters of population genetic models where the likelihood is intractable. We describe an alternative approach, summary likelihood, that provides a likelihood-based analysis of the information retained in the summary statistics whose distribution is simulated. We provide an automated implementation as a standard R package, Infusion, and we test the method, in particular for a scenario of inference of population-size...
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