Package

r-multtest

Description

Resampling-based multiple hypothesis testing. Non-parametric bootstrap
and permutation resampling-based multiple testing procedures (including
empirical Bayes methods) 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). Several choices of bootstrap-based null distribution are
implemented (centered, centered and scaled, quantile- transformed).
Single-step and step-wise methods are available. Tests based on a
variety of t- and F-statistics (including t-statistics based on
regression parameters from linear and survival models as well as those
based on correlation parameters) are included. When probing hypotheses
with t-statistics, users may also select a potentially faster null
distribution which is multivariate normal with mean zero and variance
covariance matrix derived from the vector influence function. Results
are reported in terms of adjusted p-values, confidence regions and test
statistic cutoffs. The procedures are directly applicable to identifying
differentially expressed genes in DNA microarray experiments.

Note