r-bioc-multtest 2.26.0-1 source package in Ubuntu
Changelog
r-bioc-multtest (2.26.0-1) unstable; urgency=medium * New upstream version -- Andreas Tille <email address hidden> Wed, 04 Nov 2015 16:16:09 +0100
Upload details
- Uploaded by:
- Debian Med
- Uploaded to:
- Sid
- Original maintainer:
- Debian Med
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Xenial | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-multtest_2.26.0-1.dsc | 2.1 KiB | 639bec7bd54f246d69d5f6628bf9314b994bfd3aeefb4e54fb2168c519b472bd |
| r-bioc-multtest_2.26.0.orig.tar.gz | 1.2 MiB | 3bacfbafac92dfef821c81b8d841b2945538118ef1bee33ab2ee9c209b12f8be |
| r-bioc-multtest_2.26.0-1.debian.tar.xz | 2.6 KiB | e4cb0307705c3069569edd60efbeae7b2b14be0ed1f33597e0be6d6928d17b68 |
Available diffs
- diff from 2.24.0-1 to 2.26.0-1 (1.3 KiB)
No changes file available.
Binary packages built by this source
- r-bioc-multtest: No summary available for r-bioc-multtest in ubuntu zesty.
No description available for r-bioc-multtest in ubuntu zesty.
- r-bioc-multtest-dbgsym: debug symbols for package r-bioc-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.
