Other packages > Find by keyword >

RegCombin  

Partially Linear Regression under Data Combination
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
[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 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:23), 0.2.1 (2023-03-01 21:00), 0.3.1 (2023-09-07 19:00)
Other packages that cited RegCombin R package
View RegCombin citation profile
Other R packages that RegCombin depends, imports, suggests or enhances
Complete documentation for RegCombin
Functions, R codes and Examples using the RegCombin R package
Full RegCombin package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA