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OutcomeWeights  

Outcome Weights of Treatment Effect Estimators
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OutcomeWeights", "0.1.1")



Attach the package and use:
library("OutcomeWeights")
Maintained by
Michael C. Knaus
[Scholar Profile | Author Map]
First Published: 2024-11-21
Latest Update: 2024-11-21
Description:
Many treatment effect estimators can be written as weighted outcomes. These weights have established use cases like checking covariate balancing via packages like 'cobalt'. This package takes the original estimator objects and outputs these outcome weights. It builds on the general framework of Knaus (2024) <doi:10.48550/arXiv.2411.11559>. This version is compatible with the 'grf' package and provides an internal implementation of Double Machine Learning.
How to cite:
Michael C. Knaus (2024). OutcomeWeights: Outcome Weights of Treatment Effect Estimators. R package version 0.1.1, https://cran.r-project.org/web/packages/OutcomeWeights. Accessed 17 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-11-21 09:00)
Other packages that cited OutcomeWeights R package
View OutcomeWeights citation profile
Other R packages that OutcomeWeights depends, imports, suggests or enhances
Complete documentation for OutcomeWeights
Functions, R codes and Examples using the OutcomeWeights R package
Full OutcomeWeights package functions and examples
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