R: Residual Randomization Inference for Regression Models

# Residual Randomization Inference for Regression Models

## Documentation for package ‘RRI’ version 1.1

- DESCRIPTION file

## Help Pages

check_model | Checks whether the input 'model' is valid.
example_clustering | An example 'clustering' object. A clustering is a 'List' that splits indexes 1..#num_datapoints to clusters. Each 'List' element corresponds to one cluster. The clustering is not necessarily a partition but it usually is.
example_model | Example regression model and H0.
fastLm | Fast least squares
get_clustered_eps | Calculate residuals restricted under H0
OLS_c | Fast least squares
one_sided_test | One-sided testing
out_pval | Calculates p-value or test decision
restricted_OLS_c | Fast least squares with linear constraint
rrinf | Generic residual randomization confidence intervals
rrinfBase | Generic residual randomization inference This function provides the basis for all other rrinf* functions.
rrinf_clust | Residual randomization inference based on cluster invariances
rrtest | Generic residual randomization test
rrtest_clust | Residual randomization test under cluster invariances
r_test_c | Residual randomization test
two_sided_test | Two-sided testing