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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.
Getting started
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Package details |
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| Author | Panos Toulis |
| Maintainer | Panos Toulis <panos.toulis@chicagobooth.edu> |
| License | GPL-2 |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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