# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "aggTrees" in publications use:'
type: software
license: MIT
title: 'aggTrees: Aggregation Trees'
version: 2.1.0
doi: 10.32614/CRAN.package.aggTrees
abstract: 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) <https://doi.org/10.2139/ssrn.4304256>.
authors:
- family-names: Di Francesco
  given-names: Riccardo
  email: difrancesco.riccardo96@gmail.com
repository: https://CRAN.R-project.org/package=aggTrees
repository-code: https://github.com/riccardo-df/aggTrees
url: https://riccardo-df.github.io/aggTrees/
date-released: '2024-09-09'
contact:
- family-names: Di Francesco
  given-names: Riccardo
  email: difrancesco.riccardo96@gmail.com