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)