Compute q-values Benjamini and Heller's (2007) approach for controlling FDR for spatial signals.
fdr.bh.p1(p, w = rep(1, length(p)), q = 0.05) fdr.bh.p2(p, w = rep(1, length(p)), q = 0.05)
a p-value vector. No NA is allowed and all values are in [0, 1].
a weight vector for p-values.
a desired cutoff for adjusting p-values.
Return the number of rejected hypotheses and all corresponding q-values for the input p-values.
These functions implement first two procedures in Benjamini and Heller (2007) for controlling FDR for spatial signals.
http://maitra.public.iastate.edu/
qvalue().
qvalue()
# NOT RUN { library(MixfMRI, quietly = TRUE) set.seed(1234) da <- gendataset(phantom = shepp1fMRI, overlap = 0.01) p <- da$pval[!is.na(da$pval)][1:100] fdr.bh.p1(p) fdr.bh.p2(p) # }
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