ctbab: Closed testing with branch and bound

In newFocus: True Discovery Guarantee by Combining Partial Closed Testings

Description

Closed testing with branch and bound algorithm specifically for globaltest

Usage

ctbab(y, Cm, Tm, upnode, level, lownode, tmin, ctrue, lf, ls, alpha, count = 0, maxIt = 0)

Arguments

y	The response variable
Cm	The matrix for calculating critical values of globaltest
Tm	The matrix for calculating test statistics of globaltest
upnode	The upper node that is used to bound critical values
level	The level that the GO term of interest
lownode	The lower node that is used to bound critical values
tmin	The minimum test statistic
ctrue	The true critical value corresponding to the minimum test statistic
lf	The lambda vector corresponding to the upper node
ls	The lambda vector corresponding to the lower node
alpha	The significance level
count	An integer stores the repetitions of the branch and bound, i.e. how many time branch and bound is implemented
maxIt	The maximal number of repetitions prespecified by user

Value

It will retrun the rejection indicator by closed testing with branch and bound algorithm.

Author(s)

Ningning Xu

References

Xu, N., & Goeman, J. (2020). Closed testing with Globaltest with applications on metabolomics data. arXiv preprint arXiv:2001.01541.

newFocus documentation built on July 5, 2021, 5:09 p.m.