: For large datasets, while distinct is flexible, using gdistinct from the gtools package (if installed) is significantly faster for reporting.
[Stata 15] 2017 -> Markdown integration, ERMs, and spatial autoregression. │ [Stata 16] 2019 -> Lasso, python integration (PyStata), and multiple datasets. │ [Stata 17] 2021 -> Faster tables, Bayesian econometrics, and Intel Math Kernel Library. │ [Stata 18] 2023 -> Graph styles, causal inference, alias variables, and Boosted Trees. 🚀 Key Exclusive Capabilities in Stata 18 1. Advanced Causal Inference and Machine Learning
Here are a few options for a "Stata 18 Exclusive" post, tailored to different platforms and audiences.
Stata has long been a trusted companion for researchers in economics, biostatistics, epidemiology, sociology, and countless other disciplines that demand robust data analysis. First released in 1985, Stata has grown from a modest command-line tool into a comprehensive statistical software package with a devoted global following. With each major version, StataCorp adds new features and refines existing workflows. Stata 18, released in April 2023, is no exception. But what does “exclusive” mean in the context of Stata 18?
New commands allow for cleaner treatment effect estimations, combining machine learning for nuisance parameters with traditional causal frameworks. 2. Modern Graph Styles and Visualizations
