r-bioc-multtest 2.58.0-1 source package in Ubuntu
Changelog
r-bioc-multtest (2.58.0-1) unstable; urgency=medium * New upstream version -- Andreas Tille <email address hidden> Thu, 30 Nov 2023 08:45:29 +0100
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- Uploaded by:
- Debian R Packages Maintainers
- Uploaded to:
- Sid
- Original maintainer:
- Debian R Packages Maintainers
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Oracular | release | universe | misc | |
| Noble | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-multtest_2.58.0-1.dsc | 2.1 KiB | 6b1af03ceca426ddab894d75955fd5f14a164e59ed072b79a239a6e5a80ec40c |
| r-bioc-multtest_2.58.0.orig.tar.gz | 1.2 MiB | 92c40644fb6a3adbca9cba1da864482ec5db737fcbcfc8c4e3cadc2e5e161d69 |
| r-bioc-multtest_2.58.0-1.debian.tar.xz | 3.4 KiB | 36c9612b7e0547bf77ac09d49631e86a25612e686fc3566d1733f7df12e7fcb9 |
Available diffs
- diff from 2.56.0-1 to 2.58.0-1 (739 bytes)
No changes file available.
Binary packages built by this source
- r-bioc-multtest: Bioconductor 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.
- r-bioc-multtest-dbgsym: debug symbols for r-bioc-multtest
