| sumSome-package {sumSome} | R Documentation |
True Discovery Guarantee by Sum-Based Tests
Description
It provides permutation-based true discovery guarantees, using sum-based global statistics (sum of t-scores, p-value combinations, etc.). As a main feature, it produces simultaneous lower confidence bounds for the number of active voxels in different clusters for fMRI cluster analysis.
Author(s)
Anna Vesely.
Maintainer: Anna Vesely <anna.vesely@phd.unipd.it>
References
Goeman, J. J., and Solari, A. (2011). Multiple testing for exploratory research. Statistical Science 26 (4) 584-597.
Vesely, A., Finos, L., and Goeman, J. J. (2020). Permutation-based true discovery guarantee by sum tests. Pre-print arXiv:2102.11759.
See Also
True discovery guarantee: sumStats, sumPvals
Permutation statistics for brain imaging: brainScores, brainPvals
True discovery guarantee for cluster analysis: clusterAnalysis