R: Too Many, Too Improbable (TMTI) Test Procedures

# Too Many, Too Improbable (TMTI) Test Procedures

## Documentation for package ‘TMTI’ version 1.0.3

- DESCRIPTION file
- Package README

## Help Pages

adjust_LocalTest | Adjust all p-values using a Closed Testing Procedure and a user-defined local test which satisfies the quadratic shortcut given in Mogensen and Markussen (2021)
adjust_TMTI | Adjust all p-values using a Closed Testing Procedeure and the TMTI family of tests.
CTP_LocalTest | A Closed Testing Procedure for any local test satisfying the conditions of Mogensen and Markussen (2021) using an O(n^2) shortcut.
CTP_TMTI | A Closed Testing Procedure for the TMTI using an O(n^2) shortcut
FullCTP_C | Leading NA
FWER_set_C | Leading NA
gamma_bootstrapper | Function to bootstrap the Cumulative Distribution Functions (CDFs) of the TMTI statistics.
gamma_bootstrapper_Ttest | Compute a list of TMTI CDFs for one- and two-sample test scenarios
kFWER_LocalTest | kFWER_LocalTest. Computes the largest rejection set possible with kFWER control.
kFWER_set_C | Leading NA
kFWER_TMTI | kFWER_TMTI. Computes the largest rejection set possible with kFWER control.
localTest_CTP | A Closed Testing Procedure for any local test satisfying the conditions of Mogensen and Markussen (2021) using an O(n^2) shortcut.
MakeY_C | Leading NA
MakeZ_C | Leading NA
MakeZ_C_nsmall | Leading NA
rtTMTI_CDF | Computes the analytical version of the rtMTI_infty CDF. When m>100, this should not be used.
TestSet_C | Leading NA
TestSet_LocalTest | Test a subset of hypotheses in its closure using a user-specified local test
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 | Computes the TMTI test for a joint hypothesis given input p-values.
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_C | Leading NA
TopDown_C_binary | Leading NA
TopDown_C_binary_subset | Leading NA
TopDown_LocalTest | TopDown LocalTest algorithm for estimating a 1-alpha confidence set for the number of false hypotheses among a set.
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.