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Multiple hypothesis testing library from Bioconductor

Non-parametric bootstrap and permutation resampling-based multiple testing procedures for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Single-step and step-wise methods are implemented. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models) are included. Results are reported in terms of adjusted p-values, confindence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

This Library is a part of the Bioconductor ( proejct.

Package version:2.10.0

Browse inside R-multtest-2.10.0-3.fc17.src.rpm

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1.38 MB2014-11-29multtest_2.10.0.tar.gz
5.74 KB2014-11-29R-multtest.spec  view

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