# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "fastqrs" in publications use:'
type: software
license: GPL-3.0-only
title: 'fastqrs: Fast Algorithms for Quantile Regression with Selection'
version: 1.0.0
doi: 10.32614/CRAN.package.fastqrs
abstract: Fast estimation algorithms to implement the Quantile Regression with Selection
  estimator and the multiplicative Bootstrap for inference. This estimator can be
  used to estimate models that feature sample selection and heterogeneous effects
  in cross-sectional data. For more details, see Arellano and Bonhomme (2017) <https://doi.org/10.3982/ECTA14030>
  and Pereda-Fernández (2024) <https://doi.org/10.48550/arXiv.2402.16693>.
authors:
- family-names: Pereda-Fernandez
  given-names: Santiago
  email: santiagopereda@gmail.com
  orcid: https://orcid.org/0000-0002-0319-1629
repository: https://santiago-pereda.r-universe.dev
commit: 99c826936be0b6d14ed6843174e0d7093337a68c
date-released: '2025-04-16'
contact:
- family-names: Pereda-Fernandez
  given-names: Santiago
  email: santiagopereda@gmail.com
  orcid: https://orcid.org/0000-0002-0319-1629