Residual Randomization Inference for Regression Models

Documentation for package ‘RRI’ version 1.1

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