![]() ![]() Multiple-dose pharmacokinetic models and more Heteroskedastic Panel data Heckman selection models NLMEs with lags: Multiple data sets in memory, meaning frames Sample-size analysisįor confidence intervals Nonlinear DSGE models Multiple-group IRT Python with Stata Bayesian predictions, multiple chains, and moreĮxtended regression models (ERMs) for panel data Importing or SASĪnd SPSS data sets Flexible nonparametric series regression ![]() Lasso, both for prediction and for inference Reproducible andĪutomatically updating reports New meta-analysis suite Revamped andĮxpanded choice modeling (margins works everywhere) Integration of Or you can scroll down and read my comments, which I hope are more entertaining even if they are less informative. If you click on a highlight, we will spirit you away from our website, where we will describe the feature in a dry but information-dense way. It ranges from lasso to Python and from multiple datasets in memory to multiple chains in Bayesian analysis. Stata 16 is a big release, which our releases are usually.
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