NEWS

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aggTrees 2.1.0 (2024-09-09)

The 'build_aggtree' function now requires a different set of arguments that allow better control on training-honest sample split.

aggTrees 2.0.3

Updated vignettes. Improved LATEX output.

aggTrees 2.0.2 (2023-09-20)

Fixed a bug that occurred when using only one covariate.

aggTrees 2.0.1 (2023-08-08)

Now the inference_aggtree function can estimate asymmetric bias-corrected and accelerated 95% confidence intervals for the GATEs based on their bootstrap distributions.

Also, improved automatic check of leaf composition. Functions that estimate the GATEs now:

• Raise an error if one or more leaves contain only one observation;
• Raise an error if differences in mean outcomes is the chosen estimator and one or more leaves contain only treated or only control units.

aggTrees 2.0.0 (2023-02-21)

Updated hypothesis testing procedure. Improved LATEX output.

aggTrees 1.0.0 (2023-02-09)

First public release