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tidyhte  

Tidy Estimation of Heterogeneous Treatment Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tidyhte", "1.0.2")



Attach the package and use:
library("tidyhte")
Maintained by
Drew Dimmery
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-14
Latest Update: 2023-08-14
Description:
Estimates heterogeneous treatment effects using tidy semantics on experimental or observational data.Methods are based on the doubly-robust learner of Kennedy (n.d.) <doi:10.48550/arXiv.2004.14497>. You provide a simple recipe for what machine learning algorithms to use in estimating the nuisance functions and 'tidyhte' will take care of cross-validation, estimation, model selection, diagnostics and construction of relevant quantities of interest about the variability of treatment effects.
How to cite:
Drew Dimmery (2023). tidyhte: Tidy Estimation of Heterogeneous Treatment Effects. R package version 1.0.2, https://cran.r-project.org/web/packages/tidyhte. Accessed 27 Jan. 2025.
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