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DiscreteQvalue
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Download and install DiscreteQvalue package within the R console
Install from CRAN:
install.packages("DiscreteQvalue")
Install from Github:
library("remotes")
install_github("cran/DiscreteQvalue") Install by package version:
library("remotes")
install_version("DiscreteQvalue", "1.1") Attach the package and use:
library("DiscreteQvalue")
Maintained by
Marta Cousido Rocha
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First Published: 2019-10-21
Latest Update: 2020-04-01
Description:
We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003), . 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.
How to cite:
Marta Cousido Rocha (2019). DiscreteQvalue: Improved q-Values for Discrete Uniform and Homogeneous Tests. R package version 1.1, https://cran.r-project.org/web/packages/DiscreteQvalue. Accessed 08 Oct. 2026.
Previous versions and publish date:
1.0 (2019-10-21 16:10), (2026-07-09 08:02)
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Complete documentation for DiscreteQvalue
Functions, R codes and Examples using
the DiscreteQvalue R package
Some associated functions: DQ . DiscreteQvalue-package .
Some associated R codes: DQ.R . DiscreteQvalue-package.R . Rp.R . est.pi0.disc.R . get.tbl.full.R . pi0_G.R . q.value_pi0.R . which.min.left.R . zzz.R . Full DiscreteQvalue package functions and examples
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