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We used hierarchical Bayesian models to estimate parameters that describe individual (butterfly) oviposition preference, population-level oviposition preference, and interindividual variation in oviposition preference. For both oviposition experiments, we assumed that the number of eggs laid on plant species j by female i (xij) followed a multinomial distribution with parameters pij and ni. We ignore possible intraspecific variation in plant quality. We equate pij with the individual-level oviposition preference of female i for plant species j. ni denotes the total number of eggs laid by female i. We specified a Dirichlet conditional prior for the individual-level oviposition preference parameters (i.e., the collection of pij) for each population:
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