Package: multtest
Title: Resampling-based multiple hypothesis testing
Version: 1.23.3
Author: Katherine S. Pollard, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
Description: 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.
Maintainer: Katherine S. Pollard <kpollard@gladstone.ucsf.edu>
Depends: R (>= 2.1.0), methods, Biobase
Imports: survival
Enhances: snow, Rmpi, rpvm
License: LGPL
biocViews: Microarray, DifferentialExpression, MultipleComparisons
LazyLoad:yes
Packaged: Fri Feb 13 02:43:36 2009; biocbuild

Package: multtest
Title: Resampling-based multiple hypothesis testing
Version: 1.6.0
Author: Katherine S. Pollard, Yongchao Ge, Sandrine Dudoit
Description: 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.
Maintainer: Katherine S. Pollard <kpollard@soe.ucsc.edu>
Depends: R (>= 2.1.0), survival
License: LGPL
Packaged: Mon May 30 11:24:56 2005; kpollard