Provides a two-stage framework for multiple testing problems with topological constraints. In the first stage, clusters of hypotheses are selected as regions of interests. The clusters can be overlapped. The false overlapped-cluster rate w.r.t. the clusters is controlled. In the second stage, conditional p-values are calculated at the individual level in a post-selection inference fashion. The FDR controlling procedures are applied to these conditional p-values. Two functions are proposed: 'focr_initial' and 'focr'. The function 'focr' provides a bundled stage-I and stage-II procedure with preset settings. The function 'focr_initial' only controls the stage-I 'FOCR' and calculate the conditional p-values. However, it allows more flexible controls on the clusters.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 0.1.0 |
URL | http://dipterix.github.io/focr |
Package repository | View on GitHub |
Installation |
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