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-4.5-noble)countdata_1.3.tar.gz(r-4.4-noble)
countdata_1.3.tgz(r-4.4-emscripten)countdata_1.3.tgz(r-4.3-emscripten)
countdata.pdf |countdata.html✨
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 2 years agofrom:6157e6ce4f. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
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 |