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Package Updates

Changes in Version 0.2.0 (2026-04-09)

New features

• Added positivity_trim argument to ROOT() and characterizing_underrep() for pre-trimming target observations with structural positivity violations prior to optimization. Supports a fixed numeric threshold (e.g., positivity_trim = 0.05) or the data-driven rule of Crump, Hotz, Imbens & Mitnik (2009, Biometrika) via positivity_trim = "crump". Only active in generalizability mode. Trimming metadata is stored in the returned object as positivity_trim_info and reported by summary().
• Added split_strategy argument to ROOT() and characterizing_underrep() with options "midpoint" (default, backward-compatible) and "random_quantile". The random quantile strategy draws a uniform random quantile within quantile_range (default 10th–90th percentile) at each split, improving covariate-space coverage across the forest. The strategy used is stored in the returned object and reported by summary().
• New internal helpers: crump_alpha(), trim_positivity_violations(), and split_point().

Documentation

• Added roxygen documentation for all new arguments and helper functions.
• Added Crump et al. (2009) to @references in ROOT().
• summary.ROOT() now reports the split strategy and positivity trimming diagnostics.

Testing

• New test files: test-positivity.R and test-split-strategy.R.

Changes in Version 0.1.1 (2026-03-04)

• Updated help files
• Expanded unit testing
• Updated authorship

Changes in Version 0.1.0 (2026-02-23)

• First version released on GitHub (https://github.com/peterliu599/ROOT)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.