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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 "TSLA" in publications use:'
type: software
license: GPL-3.0-only
title: 'TSLA: Tree-Guided Rare Feature Selection and Logic Aggregation'
version: 0.1.2
doi: 10.32614/CRAN.package.TSLA
abstract: Implementation of the tree-guided feature selection and logic aggregation
  approach introduced in Chen et al. (2024) <https://doi.org/10.1080/01621459.2024.2326621>.
  The method enables the selection and aggregation of large-scale rare binary features
  with a known hierarchical structure using a convex, linearly-constrained regularized
  regression framework. The package facilitates the application of this method to
  both linear regression and binary classification problems by solving the optimization
  problem via the smoothing proximal gradient descent algorithm (Chen et al. (2012)
  <https://doi.org/10.1214/11-AOAS514>).
authors:
- family-names: Chen
  given-names: Jianmin
  email: jianminc000@gmail.com
- family-names: Chen
  given-names: Kun
repository: https://jianminc.r-universe.dev
commit: 58c26c44fd6f947cb8a4f2bdbc6d5623e6524440
date-released: '2025-03-17'
contact:
- family-names: Chen
  given-names: Jianmin
  email: jianminc000@gmail.com