sumSome-package: True Discovery Guarantee by Sum-Based Tests

Description Author(s) References See Also

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


sumSome documentation built on Nov. 24, 2021, 9:06 a.m.