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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "Rcope" in publications use:'
type: software
license: MIT
title: 'Rcope: Tools to Cope with Endogeneity Problems'
version: 1.0.0
doi: 10.32614/CRAN.package.Rcope
abstract: Researchers across disciplines often face biased regression model estimates
  due to endogenous regressors correlated with the error term. Traditional solutions
  require instrumental variables (IVs), which are often difficult to find and validate.
  This package provides flexible, alternative IV-free methods using copulas, as described
  in the practical guide to endogeneity correction using copulas (Yi Qian, Tony Koschmann,
  and Hui Xie 2025) <https://doi.org/10.1177/00222429251410844>. The current version
  implements the two-stage copula endogeneity correction (2sCOPE) method to fit models
  with continuous endogenous regressors and both continuous and discrete exogenous
  regressors, as described in Fan Yang, Yi Qian, and Hui Xie (2024) <https://doi.org/10.1177/00222437241296453>.
  Using this method, users can address regressor endogeneity problems in nonexperimental
  data without requiring IVs.
authors:
- family-names: Obrzut
  given-names: Anthony
  email: anthony_obrzut@sfu.ca
- family-names: Qian
  given-names: Yi
- family-names: Xie
  given-names: Hui
repository: https://cran.r-universe.dev
commit: eaaaf7d78810bd56b374746c303c7ebd7211236b
date-released: '2026-03-03'
contact:
- family-names: Obrzut
  given-names: Anthony
  email: anthony_obrzut@sfu.ca