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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "grf" in publications use:'
type: software
license: GPL-3.0-only
title: 'grf: Generalized Random Forests'
version: 2.6.1
doi: 10.32614/CRAN.package.grf
abstract: Forest-based statistical estimation and inference. GRF provides non-parametric
  methods for heterogeneous treatment effects estimation (optionally using right-censored
  outcomes, multiple treatment arms or outcomes, or instrumental variables), as well
  as least-squares regression, quantile regression, and survival regression, all with
  support for missing covariates.
authors:
- family-names: Tibshirani
  given-names: Julie
  email: jtibs@cs.stanford.edu
- family-names: Athey
  given-names: Susan
- family-names: Sverdrup
  given-names: Erik
  email: erik.sverdrup@monash.edu
- family-names: Wager
  given-names: Stefan
repository: https://anumbat.r-universe.dev
repository-code: https://github.com/grf-labs/grf
commit: 4cfeab8ee3ec2f7a4e744e530fa824e7f47ad4b7
url: https://github.com/grf-labs/grf
date-released: '2026-03-04'
contact:
- family-names: Sverdrup
  given-names: Erik
  email: erik.sverdrup@monash.edu