INTRIGUE: Quantify and Control Reproducibility in High-Throughput Experiments

Estimate the proportions of the null and the reproducibility and non-reproducibility of the signal group for the input data set. The Bayes factor calculation and EM (Expectation Maximization) algorithm procedures are also included.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: SQUAREM, dplyr, rlist
Published: 2020-11-05
Author: Yi Zhao [aut], Xiaoquan Wen [aut], Michael Kleinsasser [cre]
Maintainer: Michael Kleinsasser <mkleinsa at umich.edu>
License: GPL-2
NeedsCompilation: no
Materials: README
CRAN checks: INTRIGUE results

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Reference manual: INTRIGUE.pdf
Package source: INTRIGUE_0.1.0.tar.gz
Windows binaries: r-devel: INTRIGUE_0.1.0.zip, r-release: INTRIGUE_0.1.0.zip, r-oldrel: INTRIGUE_0.1.0.zip
macOS binaries: r-release (arm64): INTRIGUE_0.1.0.tgz, r-release (x86_64): INTRIGUE_0.1.0.tgz, r-oldrel: INTRIGUE_0.1.0.tgz

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