Package: RegCombin
Title: Partially Linear Regression under Data Combination
Version: 0.4.1
Authors@R: c(person("Xavier", "D'Haultfoeuille", email = "xavier.dhaultfoeuille@ensae.fr", role = c("aut")),
    person("Christophe", "Gaillac", email = "christophe.gaillac@economics.ox.ac.uk", role = c("aut", "cre")), 
    person("Arnaud", "Maurel", email = "arnaud.maurel@duke.edu", role = c("aut")))
Description: 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) <doi: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.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
RoxygenNote: 7.2.3
Imports: dplyr,kableExtra,snowfall,RationalExp,Hmisc,geometry,pracma
NeedsCompilation: no
Packaged: 2026-11-03 19:13:13 UTC; root
Author: Xavier D'Haultfoeuille [aut], Christophe Gaillac [aut, cre],
        Arnaud Maurel [aut]
Maintainer: Christophe Gaillac <christophe.gaillac@economics.ox.ac.uk>
Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev
        libfribidi-dev make libharfbuzz-dev libicu-dev libpng-dev
        libuv1-dev libxml2-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-11-03 06:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/RegCombin
RemoteSha: e3b03a57f0d85a1cfbae0f027e12709336feb36c
RemoteSubdir: RegCombin