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RegCombin
View on CRAN: Click
here
Download and install RegCombin package within the R console
Install from CRAN:
install.packages("RegCombin")
Install from Github:
library("remotes")
install_github("cran/RegCombin")
Install by package version:
library("remotes")
install_version("RegCombin", "0.4.1")
Attach the package and use:
library("RegCombin")
Maintained by
Christophe Gaillac
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-01
Latest Update: 2023-10-16
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) . 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.
How to cite:
Christophe Gaillac (2023). RegCombin: Partially Linear Regression under Data Combination. R package version 0.4.1, https://cran.r-project.org/web/packages/RegCombin. Accessed 25 Dec. 2024.
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