r-bioc-multtest 2.42.0-1 source package in Ubuntu
Changelog
r-bioc-multtest (2.42.0-1) unstable; urgency=medium * Team upload. * New upstream version * Fixed debian/watch for BioConductor * debhelper-compat 12 * Standards-Version: 4.4.1 -- Dylan Aïssi <email address hidden> Fri, 08 Nov 2019 22:39:22 +0100
Upload details
- 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 | |
|---|---|---|---|---|
| Focal | release | universe | misc |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| r-bioc-multtest_2.42.0-1.dsc | 2.1 KiB | a42501decd8df4f1fb46aaa08bb2acf864cbf997fcc2ad132e3c54baf760a46d |
| r-bioc-multtest_2.42.0.orig.tar.gz | 1.2 MiB | 312b5e1103876803e085b8bd509390d3e1ea0985b517879177ba51733a4dca62 |
| r-bioc-multtest_2.42.0-1.debian.tar.xz | 2.9 KiB | bd24dc36cdd16b0a1064f7afc0e20734805dbfbd18512fbab97908963fb6f427 |
Available diffs
- diff from 2.40.0-1 to 2.42.0-1 (1.2 KiB)
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: No summary available for r-bioc-multtest-dbgsym in ubuntu groovy.
No description available for r-bioc-
multtest- dbgsym in ubuntu groovy.
