Quick start | Unpaired test | Data normalization | Fold change calculation | Paired test | References
This package is considered a duplicate. The official version of this package is found at:https://tvpham.r-universe.dev/countdata
Package: countdata 1.3
Thang Pham
countdata: The Beta-Binomial Test for Count Data
The beta-binomial test is used for significance analysis of independent samples by Pham et al. (2010) <doi:10.1093/bioinformatics/btp677>. The inverted beta-binomial test is used for paired sample testing, e.g. pre-treatment and post-treatment data, by Pham and Jimenez (2012) <doi:10.1093/bioinformatics/bts394>.
Authors:
countdata_1.3.tar.gz
countdata_1.3.tar.gz(r-4.7-arm64)countdata_1.3.tar.gz(r-4.7-x86_64)countdata_1.3.tar.gz(r-4.6-arm64)countdata_1.3.tar.gz(r-4.6-x86_64)
countdata_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
countdata/json (API)
| # Install 'countdata' in R: |
| install.packages('countdata', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6157e6ce4f. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 131 | ||
| linux-devel-x86_64 | OK | 115 | ||
| source / vignettes | OK | 186 | ||
| linux-release-arm64 | OK | 126 | ||
| linux-release-x86_64 | OK | 165 | ||
| wasm-release | OK | 111 |
Exports:bb.testfold.changeibb.testnormalize
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| The beta-binomial test | bb.test |
| Fold change calculation | fold.change |
| The inverted beta-binomial test | ibb.test |
| Global normalization of count data | normalize |
