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.


Reference manual

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1.1 by Panos Toulis, 2 years ago

Browse source code at

Authors: Panos Toulis

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp

Linking to Rcpp, RcppArmadillo

See at CRAN