A new update to StataNow has just been released
We just released another update to StataNow. Make sure your copy of StataNow is up to date so that you have the latest features, including the following:
Import data from parquet files. Data are increasingly stored and distributed in Parquet format. You can now use the import parquet command to easily import Parquet data into Stata. Most Parquet compression methods and data types are supported.
Causal mediation analysis with two mediators. The mediate command now allows you to fit causal mediation models with two mediators, whether those mediators are sequential or parallel. Decompose the total effect of a treatment on an outcome into natural direct and indirect effects. You can also estimate controlled direct effects and perform sensitivity analysis for sequential mediation.
Compute quantiles in Mata. The new Mata quantile() function computes quantiles. You can choose from 3 discontinuous methods and 11 continuous methods for calculating quantiles.
We’ve also added new features that are available to everyone with Stata 19 and StataNow 19.
Postestimation tools for H2O machine learning. After using the h2oml commands to perform random forest or gradient boosting machine, you can use the new h2omlgraph permimp command to graph permutation variable importance and identify influential predictors. In addition, diagnostic plots are now available after gradient boosting regression and random forest regression. The new h2omlgraph rvfplot command graphs the residuals versus fitted values, and the new h2omlgraph rvpplot command graphs residuals versus a predictor.
Move data between Stata and Python NumPy arrays or pandas DataFrames. The Stata–Python API now includes functions for easily moving data between NumPy arrays and Stata datasets, frames, Mata matrices, and Stata matrices. New functions are also available for moving data between pandas DataFrames and Stata datasets and frames.
Treatment-effect aggregation weights. When you wish to aggregate average treatment effects on the treated after heterogeneous treatment-effect estimation, estat aggregation now allows you to select from aggregation weights that are constant within cohorts or that vary across time periods and cohorts.
For more features of StataNow 19 and Stata 19, see https://www.stata.com/new-in-stata/features/.
You can type update all in your copy of StataNow or Stata 19 to get access to these version-specific updates.