Machine learning via H2O:
Ensemble decision trees
Conditional average treatment effects (CATE)
High-dimensional fixed effects (HDFE)
Bayesian variable selection for linear model
Interval-censored multiple-event Cox model
Bayesian quantile regression
Panel-data vector autoregressive (VAR) model
Correlated random-effects (CRE) model
Bayesian bootstrap
Control-function linear and probit models
SVAR models via instrumental variables
Instrumental-variables local-projection IRFs
Latent class model-comparison statistics
Bayesian asymmetric Laplace model
Inference robust to weak instruments
Meta-analysis for correlations
Mundlak specification test
Do-file Editor: Autocompletion, templates, and more
Graphics: Bar graph CIs, heat maps, and more
Tables: Easier tabulations, exporting, and more
Multiple datasets: Modify a set of frames
Stata in French