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RRI  

Residual Randomization Inference for Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RRI", "1.1")



Attach the package and use:
library("RRI")
Maintained by
Panos Toulis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-15
Latest Update: 2019-12-19
Description:
Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors, e.g., clustered errors, or doubly-clustered errors.
How to cite:
Panos Toulis (2019). RRI: Residual Randomization Inference for Regression Models. R package version 1.1, https://cran.r-project.org/web/packages/RRI. Accessed 25 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:20), 1.0 (2019-07-15 13:30)
Other packages that cited RRI R package
View RRI citation profile
Other R packages that RRI depends, imports, suggests or enhances
Complete documentation for RRI
Functions, R codes and Examples using the RRI R package
Some associated functions: OLS_c . check_model . example_clustering . example_model . fastLm . get_clustered_eps . one_sided_test . out_pval . r_test_c . restricted_OLS_c . rrinf . rrinfBase . rrinf_clust . rrtest . rrtest_clust . two_sided_test . 
Some associated R codes: RcppExports.R . functions.R .  Full RRI package functions and examples
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