CRAN/E | RegCombin

RegCombin

Partially Linear Regression under Data Combination

Installation

About

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 for theory and code examples.

Key Metrics

Version 0.4.1
Published 2023-10-16 245 days ago
Needs compilation? no
License GPL-3
CRAN checks RegCombin results

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Maintainer

Maintainer

Christophe Gaillac

Authors

Xavier D'Haultfoeuille

aut

Christophe Gaillac

aut / cre

Arnaud Maurel

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RegCombin archive

Imports

dplyr
kableExtra
snowfall
RationalExp
Hmisc
geometry
pracma

Suggests

knitr
rmarkdown