multtest (2.8.0)
Resampling-based multiple hypothesis testing.
http://cran.r-project.org/web/packages/multtest
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
Author(s): Katherine S. Pollard, Houston N. Gilbert, Yongchao Ge, Sandra Taylor, Sandrine Dudoit
License: LGPL
Uses: MASS, survival, snow
Reverse depends: EMA, GExMap, LMGene, MAMA, mutoss, PCS, structSSI
Reverse suggests: cherry, hisemi, mutoss, pi0, sprint
Released about 2 years ago.
9 previous versions
- multtest_2.7.1. Released over 2 years ago.
- multtest_2.6.0. Released over 2 years ago.
- multtest_2.5.14. Released almost 3 years ago.
- multtest_2.4.0. Released about 3 years ago.
- multtest_2.2.0. Released over 3 years ago.
- multtest_2.1.3. Released over 3 years ago.
- multtest_2.1.1.
- multtest_1.21.1. Released over 12 years ago.
- multtest_1.16.1. Released over 12 years ago.
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