# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "RegCombin" in publications use:'
type: software
license: GPL-3.0-only
title: 'RegCombin: Partially Linear Regression under Data Combination'
version: 0.4.1
doi: 10.32614/CRAN.package.RegCombin
abstract: We implement linear regression when the outcome of interest and some of
  the covariates are observed in two different datasets that cannot be linked, based
  on D'Haultfoeuille, Gaillac, Maurel (2022) <https://doi.org/10.3386/w29953>. The
  package allows for common regressors observed in both datasets, and for various
  shape constraints on the effect of covariates on the outcome of interest. It also
  provides the tools to perform a test of point identification. See the associated
  vignette <https://github.com/cgaillac/RegCombin/blob/master/RegCombin_vignette.pdf>
  for theory and code examples.
authors:
- family-names: D'Haultfoeuille
  given-names: Xavier
  email: xavier.dhaultfoeuille@ensae.fr
- family-names: Gaillac
  given-names: Christophe
  email: christophe.gaillac@economics.ox.ac.uk
- family-names: Maurel
  given-names: Arnaud
  email: arnaud.maurel@duke.edu
repository: https://cranhaven.r-universe.dev
commit: e3b03a57f0d85a1cfbae0f027e12709336feb36c
date-released: '2026-11-03'
contact:
- family-names: Gaillac
  given-names: Christophe
  email: christophe.gaillac@economics.ox.ac.uk