Package: LFDREmpiricalBayes 1.0

LFDREmpiricalBayes: Estimating Local False Discovery Rates Using Empirical Bayes Methods

New empirical Bayes methods aiming at analyzing the association of single nucleotide polymorphisms (SNPs) to some particular disease are implemented in this package. The package uses local false discovery rate (LFDR) estimates of SNPs within a sample population defined as a "reference class" and discovers if SNPs are associated with the corresponding disease. Although SNPs are used throughout this document, other biological data such as protein data and other gene data can be used. Karimnezhad, Ali and Bickel, D. R. (2016) <http://hdl.handle.net/10393/34889>.

Authors:Ali Karimnezhad, Johnary Kim, Anna Akpawu, Justin Chitpin and David R Bickel

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LFDREmpiricalBayes.pdf |LFDREmpiricalBayes.html
LFDREmpiricalBayes/json (API)
NEWS

# Install 'LFDREmpiricalBayes' in R:
install.packages('LFDREmpiricalBayes', repos = c('https://empiricalbayes.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bayesianmathematicalbiologymultiplecomparison

2.00 score 5 scripts 439 downloads 4 exports 2 dependencies

Last updated 8 years agofrom:e97e0722b0. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winOKMar 22 2025
R-4.5-macOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-winOKMar 22 2025
R-4.4-macOKMar 22 2025
R-4.4-linuxOKMar 22 2025
R-4.3-winOKMar 22 2025
R-4.3-macOKMar 22 2025

Exports:caution.parameter.actionsME.logPRGM.actionSEL.caution.parameter

Dependencies:matrixStatsR6

LFDREmpiricalBayes

Rendered fromLFDREmpiricalBayes.Rnwusingutils::Sweaveon Mar 22 2025.

Last update: 2017-09-27
Started: 2017-09-27