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# CITATION.cff 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 "RTFBoost" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'RTFBoost: Robust Tree-Based Boosting for Functional Regression'
version: 0.1.0
abstract: Implements a family of robust tree-based boosting methods for functional
  regression, including procedures based on least absolute deviation, M-estimation,
  and MM-estimation. The package also includes a non-robust tree-based boosting method
  introduced in Ju X and Salibian-Barrera M. (2024) <https://doi.org/10.1007/s00180-023-01364-2>.
  Functions are provided for model fitting and prediction in regression settings with
  functional predictors.
authors:
- family-names: Ju
  given-names: Xiaomeng
  email: xiaomengju@uvic.ca
- family-names: Salibian-Barrera
  given-names: Matias
  email: matias@stat.ubc.ca
repository: https://cran.r-universe.dev
commit: 8a306151279fb31b9950d727a6829a26b8ddae4b
date-released: '2026-10-16'
contact:
- family-names: Ju
  given-names: Xiaomeng
  email: xiaomengju@uvic.ca