New in Model selection, prediction, and inference Combine results from multiple studies Multiple chains Bayesian predictions You know it's nonlinear. Did you know you can make inferences about anything of interest? You choose dinner everyday. You choose your car insurance every year. You choose where to vacation each summer. Now you can account for the you-ness in those decisions. Leave the linearization to us. If you know what this means ... ... you know that you want it. Pharmacokinetic models, growth models, and more Model differences in variance among subjects or groups
Estimate an overall effect size
And more
Choice models with meaningful inference
Pass data back and forth seamlessly
Linear programming
[size=3em]