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DRDRtest  

A Nonparametric Doubly Robust Test for Continuous Treatment Effect
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DRDRtest", "0.1")



Attach the package and use:
library("DRDRtest")
Maintained by
Guangwei Weng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-28
Latest Update: 2021-09-28
Description:
Implement the statistical test proposed in Weng et al. (2021) to test whether the average treatment effect curve is constant and whether a discrete covariate is a significant effect modifier.
How to cite:
Guangwei Weng (2021). DRDRtest: A Nonparametric Doubly Robust Test for Continuous Treatment Effect. R package version 0.1, https://cran.r-project.org/web/packages/DRDRtest. Accessed 20 Sep. 2026.
Previous versions and publish date:
0.1 (2021-09-28 11:10), (2026-07-09 08:01)
Other packages that cited DRDRtest R package
View DRDRtest citation profile
Other R packages that DRDRtest depends, imports, suggests or enhances
Complete documentation for DRDRtest
Functions, R codes and Examples using the DRDRtest R package
Some associated functions: drdrtest.base . drdrtest . drdrtest.superlearner . drdrtest_em.base . drdrtest_em . drdrtest_em.superlearner . 
Some associated R codes: drdrtest.R . drdrtest_em.R . utils.R .  Full DRDRtest package functions and examples
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