CRAN: Package aggTrees

aggTrees: Aggregation Trees

Nonparametric data-driven approach to discovering heterogeneous subgroups in a selection-on-observables framework. 'aggTrees' allows researchers to assess whether there exists relevant heterogeneity in treatment effects by generating a sequence of optimal groupings, one for each level of granularity. For each grouping, we obtain point estimation and inference about the group average treatment effects. Please reference the use as Di Francesco (2022) <doi:10.2139/ssrn.4304256>.

Version: 2.1.0

Depends: R (≥ 2.10)

Imports: boot, broom, car, caret, estimatr, grf, rpart, rpart.plot, stats, stringr

Suggests: knitr, rmarkdown

Published: 2024年09月09日

DOI: 10.32614/CRAN.package.aggTrees

Author: Riccardo Di Francesco [aut, cre, cph]

Maintainer: Riccardo Di Francesco <difrancesco.riccardo96 at gmail.com>

BugReports: https://github.com/riccardo-df/aggTrees/issues

License: MIT + file LICENSE

URL: https://riccardo-df.github.io/aggTrees/

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: aggTrees results

Documentation:

Reference manual: aggTrees.html , aggTrees.pdf

Vignettes: Short Tutorial (source, R code)
Inference (source, R code)

Downloads:

Package source: aggTrees_2.1.0.tar.gz

Windows binaries: r-devel: aggTrees_2.1.0.zip, r-release: aggTrees_2.1.0.zip, r-oldrel: aggTrees_2.1.0.zip

macOS binaries: r-release (arm64): aggTrees_2.1.0.tgz, r-oldrel (arm64): aggTrees_2.1.0.tgz, r-release (x86_64): aggTrees_2.1.0.tgz, r-oldrel (x86_64): aggTrees_2.1.0.tgz

Old sources: aggTrees archive

Linking:

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