ctbab {newFocus} | R Documentation |
Closed testing with branch and bound
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.