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INTRIGUE  

Quantify and Control Reproducibility in High-Throughput Experiments
View on CRAN: Click here


Download and install INTRIGUE package within the R console
Install from CRAN:
install.packages("INTRIGUE")

Install from Github:
library("remotes")
install_github("cran/INTRIGUE")

Install by package version:
library("remotes")
install_version("INTRIGUE", "0.1.0")



Attach the package and use:
library("INTRIGUE")
Maintained by
Michael Kleinsasser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-05
Latest Update: 2020-11-05
Description:
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.
How to cite:
Michael Kleinsasser (2020). INTRIGUE: Quantify and Control Reproducibility in High-Throughput Experiments. R package version 0.1.0, https://cran.r-project.org/web/packages/INTRIGUE. Accessed 20 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited INTRIGUE R package
View INTRIGUE citation profile
Other R packages that INTRIGUE depends, imports, suggests or enhances
Complete documentation for INTRIGUE
Functions, R codes and Examples using the INTRIGUE R package
Some associated functions: bf.approx . bf.cal.cefn . bf.cal.meta . bf.em . bf.loglik . bf.weighted_sum . hetero.lfdr . hetero . heterodata . 
Some associated R codes: bf.approx.R . bf.cal.cefn.R . bf.cal.meta.R . bf.em.R . bf.loglik.R . bf.weighted_sum.R . data.R . hetero.R . hetero.lfdr.R .  Full INTRIGUE package functions and examples
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