fdrtool: Estimation of (Local) False Discovery Rates and Higher Criticism
Estimates both tail area-based false
discovery rates (Fdr) as well as local false discovery rates (fdr) for a
variety of null models (p-values, z-scores, correlation coefficients,
t-scores). The proportion of null values and the parameters of the null
distribution are adaptively estimated from the data. In addition, the package
contains functions for non-parametric density estimation (Grenander estimator),
for monotone regression (isotonic regression and antitonic regression with weights),
for computing the greatest convex minorant (GCM) and the least concave majorant (LCM),
for the half-normal and correlation distributions, and for computing
empirical higher criticism (HC) scores and the corresponding decision threshold.
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: |
DiffCorr, DMCHMM, GeneCycle, GeneNet, GSRI, HybridMTest, les, metapone, sda, st, TBEST |
| Reverse imports: |
admix, asm, beam, carSurv, DEP, EGRNi, ERP, fitdistcp, FitHiC, ggisotonic, HDMT, hdthreshold, iclogcondist, idiolect, IHW, IHWpaper, InvStablePrior, LorMe, medScan, meshr, mitey, MixTwice, MonotoneHazardRatio, NetworkToolbox, nlnet, oposSOM, OVESEG, PolySTest, qgraph, rags2ridges, Rtpca, SimSeq, SMAHP, SOHPIE, survML, vaccine |
| Reverse suggests: |
dsos, frontier, GiANT, mutoss, sand, wrMisc, wrProteo |
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