Other packages > Find by keyword >

AugBalWeight  

Augmented Balancing Weights as Linear Regression
View on CRAN: Click here


Download and install AugBalWeight package within the R console
Install from CRAN:
install.packages("AugBalWeight")

Install from Github:
library("remotes")
install_github("cran/AugBalWeight")

Install by package version:
library("remotes")
install_version("AugBalWeight", "0.1.0")



Attach the package and use:
library("AugBalWeight")
Maintained by
Shikhar Tyagi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-21
Latest Update: 2026-08-21
Description:
Implements augmented balancing weights for causal inference and linear functional estimation based on David Bruns-Smith, Oliver Dukes, Avi Feller, and Elizabeth L. Ogburn (2026) <doi:10.1093/jrsssb/qkaf019>. Establishes numerical equivalence between augmented balancing weight estimators and single linear models with weighted regression coefficients. Provides flexible routines for double ridge (l2 balancing), double lasso (l-infinity balancing), and generalized augmented linear outcome models. Features cross-validation procedures for tuning outcome penalty parameters, covariate balance, and Riesz loss. Supports robust influence-function-based standard errors, bootstrap confidence intervals, balance diagnostic tools, and counterfactual prediction for treatment effects such as average treatment effect (ATE) and average treatment effect on the treated (ATT), expanding upon the doubly robust estimation framework established by Robins, Rotnitzky, and Zhao (1994) <doi:10.1080/01621459.1994.10476818> and Chernozhukov, Chetverikov, Demirer, Duflo, Hansen, Newey, and Robins (2018) <doi:10.1111/ectj.12097>.
How to cite:
Shikhar Tyagi (2026). AugBalWeight: Augmented Balancing Weights as Linear Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/AugBalWeight. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited AugBalWeight R package
View AugBalWeight citation profile
Other R packages that AugBalWeight depends, imports, suggests or enhances
Complete documentation for AugBalWeight
Functions, R codes and Examples using the AugBalWeight R package
Full AugBalWeight package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

extlasso  
Maximum Penalized Likelihood Estimation with Extended Lasso Penalty
Estimates coefficients of extended LASSO penalized linear regression and generalized linear models. ...
Download / Learn more Package Citations See dependency  
RcmdrPlugin.depthTools  
R Commander Depth Tools Plug-in
We provide an Rcmdr plug-in based on the depthTools package, which implements different robust stat ...
Download / Learn more Package Citations See dependency  
funprog  
Functional Programming
High-order functions for data manipulation : sort or group data, given one or more auxiliary func ...
Download / Learn more Package Citations See dependency  
visdat  
Preliminary Visualisation of Data
Create preliminary exploratory data visualisations of an entire dataset to identify problems or une ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
r3PG  
Simulating Forest Growth using the 3-PG Model
Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-P ...
Download / Learn more Package Citations See dependency  

29,218

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