Package: multtest
Title: Resampling-based multiple hypothesis testing
Version: 2.14.0
Author: Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
Description: 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.
Maintainer: Katherine S. Pollard <kpollard@gladstone.ucsf.edu>
Depends: R (>= 2.10), methods, Biobase
Imports: survival, MASS, stats4
Suggests: snow
License: LGPL
biocViews: Microarray, DifferentialExpression, MultipleComparisons
LazyLoad: yes
Packaged: 2012-10-02 06:21:01 UTC; biocbuild
Built: R 2.15.1; i386-pc-mingw32; 2012-10-02 13:08:15 UTC; windows
Archs: i386, x64
