Package: bacon 1.35.0

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.

immunooncologystatisticalmethodbayesianregressiongenomewideassociationtranscriptomicsrnaseqmethylationarraybatcheffectmultiplecomparison

4.57 score 93 scripts 384 downloads 17 exports 38 dependencies

Last updated 23 days agofrom:22a0e4eb75. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-win-x86_64NOTEOct 30 2024
R-4.5-linux-x86_64NOTEOct 30 2024
R-4.4-win-x86_64NOTEOct 30 2024
R-4.4-mac-x86_64NOTEOct 30 2024
R-4.4-mac-aarch64NOTEOct 30 2024
R-4.3-win-x86_64NOTEOct 30 2024
R-4.3-mac-x86_64NOTEOct 30 2024
R-4.3-mac-aarch64NOTEOct 30 2024

Exports:baconbiasdnormmixesestimatesfitinflationmetaplotplotnormmixposteriorspvalrnormmixsetopTabletraceststat

Dependencies:BHBiocParallelclicodetoolscolorspacecpp11ellipsefansifarverformatRfutile.loggerfutile.optionsggplot2gluegtableisobandlabelinglambda.rlatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessnowtibbleutf8vctrsviridisLitewithr

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

Rendered frombacon.Rmdusingknitr::rmarkdownon Oct 30 2024.

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