» Reproducible reporting
» Python integration
» Choice models
» Multiple datasets in memory
» And much more
Model selection, prediction, and inference
Choice models are not new.
Multiple chains Gelman–Rubin convergence diagnostics
Bayesian predictions Posterior predictive p-values
Frames—multiple datasets in memory
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.
Multiple-dose pharmacokinetic models
Model differences in variance among subjects or groups.
이제부터 Stata의 모든 인터페이스 (모든 메뉴 및 모든 대화 상자)는 한국어로 가능합니다.
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