## version 2.1.0

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

## version 2.0.3

Updated vignettes. Improved LATEX output.

## version 2.0.2

Fixed a bug that occurred when using only one covariate.

## version 2.0.1

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.

## version 2.0.0

Updated hypothesis testing procedure. Improved LATEX output.

## version 1.0.0

First public release