Package: DiscreteQvalue 1.1
Marta Cousido Rocha
DiscreteQvalue: Improved q-Values for Discrete Uniform and Homogeneous Tests
We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003), <doi:10.1073/pnas.1530509100>. The q-value method is based on the false discovery rate (FDR), hence versions of the q-value method can be defined depending on which estimator of the proportion of true null hypotheses, p0, is plugged in the FDR estimator. We implement the q-value method based on two classical pi0 estimators, and furthermore, we propose and implement three versions of the q-value method for homogeneous discrete uniform P-values based on pi0 estimators which take into account the discrete distribution of the P-values.
Authors:
DiscreteQvalue_1.1.tar.gz
DiscreteQvalue_1.1.tar.gz(r-4.5-noble)DiscreteQvalue_1.1.tar.gz(r-4.4-noble)
DiscreteQvalue_1.1.tgz(r-4.4-emscripten)DiscreteQvalue_1.1.tgz(r-4.3-emscripten)
DiscreteQvalue.pdf |DiscreteQvalue.html✨
DiscreteQvalue/json (API)
# Install 'DiscreteQvalue' in R: |
install.packages('DiscreteQvalue', 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 5 years agofrom:ae3b7646b4. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
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Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux | OK | Dec 01 2024 |
Exports:DQ
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
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Improved q-values for discrete uniform and homogeneous tests | DiscreteQvalue-package DiscreteQvalue |
Improved q-values for discrete uniform and homogeneous tests | DQ |