Package: bacon 1.33.0

Maarten van Iterson

bacon: Controlling bias and inflation in association studies using the empirical null distribution

Bacon can be used to remove inflation and bias often observed in epigenome- and transcriptome-wide association studies. To this end bacon constructs an empirical null distribution using a Gibbs Sampling algorithm by fitting a three-component normal mixture on z-scores.

Authors:Maarten van Iterson [aut, cre], Erik van Zwet [ctb]

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NEWS

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

Peer review:

On BioConductor:bacon-1.33.0(bioc 3.20)bacon-1.32.0(bioc 3.19)

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

bioconductor-package

17 exports 1.16 score 38 dependencies 4 mentions

Last updated 2 months agofrom:b34506f93a

Exports:baconbiasdnormmixesestimatesfitinflationmetaplotplotnormmixposteriorspvalrnormmixsetopTabletraceststat

Dependencies:BHBiocParallelclicodetoolscolorspacecpp11ellipsefansifarverformatRfutile.loggerfutile.optionsggplot2gluegtableisobandlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessnowtibbleutf8vctrsviridisLitewithr

Controlling bias and inflation in association studies using the empirical null distribution

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Last update: 2024-04-17
Started: 2016-03-17