'Too Many, Too Improbable' (TMTI) Test Procedures

Documentation for package ‘TMTI’ version 0.1.0

.GetMinima	Helper function to return the first local minimum that is strictly smaller than the following n entries in a vector.
gamma_bootstrapper	Function to bootstrap the Cumulative Distribution Functions (CDFs) of the TMTI statistics.
localTest_CTP	A Closed Testing Procedure for any local test satisfying the conditions of Mogensen and Markussen (2021) using an O(n^2) shortcut.
make_Y	Returns the transformed p-values to be used in the TMTI, tTMTI or rtTMTI. Internal function.
rtTMTI_CDF	Computes the analytical version of the rtMTI_infty CDF. When m>100, this should not be used.
TestSet_localTest	Test a subset of hypotheses in its closure using a user-specified local test
TestSet_TMTI	Test a subset of hypotheses in its closure using the TMTI
TMTI	Functions for computing the TMTI tests
TMTI_CDF	Computes the analytical version of the TMTI_infty CDF. When m>100, this should not be used.
TMTI_CTP	A Closed Testing Procedure for the TMTI using an O(n^2) shortcut
TopDown_localTest	TopDown localTest algorithm for estimating a 1-alpha confidence set for the number of false hypotheses among a set.
TopDown_TMTI	TopDown TMTI algorithm for estimating a 1-alpha confidence set for the number of false hypotheses among a set.
tTMTI_CDF	Computes the analytical version of the tTMTI_infty CDF. When m>100, this should not be used.