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After determining the best-fitting mixed-effect polynomial parameterization, two primary models were fit.
The models were fit with Poisson distributions.
All models were fit using a Gaussian likelihood.
All parameters of all models were fit simultaneously.
Two logistic models were fit (insertive or receptive anal intercourse).
Both the linear and Gaussian regressor models were fit using standard methods from the Scikit Learn library.
Logistic regression models were fit to test SJIA diagnosis with each marker used as an independent predictor.
Reduced quadratic models were fit to the experimental data and were found to be highly significant.
Multiple trait models were fit to estimate genetic covariances among traits.
Models were fit in a maximum likelihood framework and ranked according to the Akaike information criterion.
Models were fit using the nlme package in R [44].
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