This application estimates the probability, relative to its competitors,
that an individual will be the successful competitor when engaged
in a contest for limited resources.
The model structure uses measured covariates to estimate each competitor's
objective probabilities of winning a contest, but also uses Bayesian
probability theory to assess each competitor's intrinsic and unmeasured
(or unmeasurable) relative competitive advantage beyond that predictable
by covariate data.
A pedagogical example of this model estimates the probability,
relative to its siblings, that an offspring will be fed by a provisioning
parent when that parent returns form a foraging excursion with food.
More content pending.
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