Improved q-Values for Discrete Uniform and Homogeneous Tests
Overview
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.
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Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
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- 2includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
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- Documented parameters
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Code & Tests
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- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 1.1Latest
- 1.02019-10-21
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-10-21
- Total releases
- 2 / 7 yrs
- License
- GPL-2 OSI
- Download size
- 10 KB
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