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RegCombin

Partially Linear Regression under Data Combination

v0.4.1 · Oct 16, 2023 · GPL-3

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.

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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
ERROR 12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Jun 8, 2026
ERROR r-devel-linux-x86_64-debian-gcc

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Package required but not available: ‘Hmisc’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
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OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 10, 2026
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 9, 2026
ERROR r-devel-linux-x86_64-debian-gcc

package dependencies

Package required but not available: ‘geometry’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies dplyr kableExtra snowfall RationalExp Hmisc geometry pracma RegCombin

Version History

4 tracked
new 0.4.1 Mar 10, 2026
updated 0.4.1 ← 0.3.1 diff Oct 15, 2023
updated 0.3.1 ← 0.2.1 diff Sep 6, 2023
new 0.2.1 Feb 28, 2023