RRI: Residual Randomization Inference for Regression Models

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.

Version: 1.1
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-12-19
Author: Panos Toulis
Maintainer: Panos Toulis <panos.toulis at chicagobooth.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: RRI results

Documentation:

Reference manual: RRI.pdf

Downloads:

Package source: RRI_1.1.tar.gz
Windows binaries: r-devel: RRI_1.1.zip, r-devel-UCRT: RRI_1.1.zip, r-release: RRI_1.1.zip, r-oldrel: RRI_1.1.zip
macOS binaries: r-release (arm64): RRI_1.1.tgz, r-release (x86_64): RRI_1.1.tgz, r-oldrel: RRI_1.1.tgz
Old sources: RRI archive

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