Package: bacon
Type: Package
Title: Controlling bias and inflation in association studies using the
        empirical null distribution
Version: 1.30.0
Authors@R: c(person("Maarten", "van Iterson",
        email="mviterson@gmail.com", role="cre"), person("Erik", "van
        Zwet", role="ctb"))
Author: Maarten van Iterson [aut, cre], Erik van Zwet [ctb]
Maintainer: Maarten van Iterson <mviterson@gmail.com>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.3), methods, stats, ggplot2, graphics, BiocParallel,
        ellipse
Suggests: BiocStyle, knitr, rmarkdown, testthat, roxygen2
biocViews: ImmunoOncology, StatisticalMethod, Bayesian, Regression,
        GenomeWideAssociation, Transcriptomics, RNASeq,
        MethylationArray, BatchEffect, MultipleComparison
RoxygenNote: 6.1.1
Collate: 'BaconClass.R' 'BaconMethods.R' 'bacon.R' 'normmixture.R'
VignetteBuilder: knitr
NeedsCompilation: yes
git_url: https://git.bioconductor.org/packages/bacon
git_branch: RELEASE_3_18
git_last_commit: 90f4e32
git_last_commit_date: 2023-10-24
Date/Publication: 2023-10-24
Packaged: 2023-10-24 20:23:17 UTC; biocbuild
Built: R 4.3.1; x86_64-apple-darwin20; 2023-10-25 04:35:10 UTC; unix
