Package: Rcope
Type: Package
Title: Tools to Cope with Endogeneity Problems
Version: 1.0.0
Authors@R: c(person(given = "Anthony",
                      family = "Obrzut",
                      role = c("aut", "cre"),
                      email = "anthony_obrzut@sfu.ca"),
               person(given = "Yi",
                      family = "Qian",
                      role = "aut"),
               person(given = "Hui",
                      family = "Xie",
                      role = "aut"))
Description: 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) <doi: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)
    <doi:10.1177/00222437241296453>. Using this method, users can address
    regressor endogeneity problems in nonexperimental data without
    requiring IVs.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, Formula, car
RoxygenNote: 7.3.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/Needs/quarto: false
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-02-25 00:00:03 UTC; anton
Author: Anthony Obrzut [aut, cre],
  Yi Qian [aut],
  Hui Xie [aut]
Maintainer: Anthony Obrzut <anthony_obrzut@sfu.ca>
Repository: CRAN
Date/Publication: 2026-03-03 10:20:24 UTC
Built: R 4.6.0; ; 2026-04-25 14:05:38 UTC; unix
