Residual Randomization Inference for Regression Models
Checks whether the input model is valid.
An example clustering object. A clustering is a List that splits i...
Example regression model and H0.
Fast least squares
Calculate residuals restricted under H0
Fast least squares
One-sided testing
Calculates p-value or test decision
Residual randomization test
Fast least squares with linear constraint
Generic residual randomization confidence intervals
Residual randomization inference based on cluster invariances
Generic residual randomization inference This function provides the ba...
Generic residual randomization test
Residual randomization test under cluster invariances
Two-sided testing
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.