Package: beer
Type: Package
Title: Bayesian Enrichment Estimation in R
Version: 1.14.0
Authors@R: c(person("Athena", "Chen", email = "achen70@jhu.edu", 
    role = c("aut", "cre"), comment = c(ORCID = "0000-0001-6900-2264")),
    person("Rob", "Scharpf", email = "rscharpf@jhu.edu", 
    role = c("aut")), 
    person("Ingo", "Ruczinski", email = "ingo@jhu.edu", 
    role = c("aut")))
Description: BEER implements a Bayesian model for analyzing 
    phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData 
    object, BEER returns posterior probabilities of enriched antibody responses, 
    point estimates for the relative fold-change in comparison to negative
    control samples, and more. Additionally, BEER provides a convenient 
    implementation for using edgeR to identify enriched antibody responses.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.2.0), PhIPData (>= 1.1.1), rjags
Imports: cli, edgeR, BiocParallel, methods, progressr, stats,
        SummarizedExperiment, utils
Suggests: testthat (>= 3.0.0), BiocStyle, covr, codetools, knitr,
        rmarkdown, dplyr, ggplot2, spelling
SystemRequirements: JAGS (4.3.0)
biocViews: Software, StatisticalMethod, Bayesian, Sequencing, Coverage
URL: https://github.com/athchen/beer/
BugReports: https://github.com/athchen/beer/issues
Config/testthat/edition: 3
VignetteBuilder: knitr
RoxygenNote: 7.2.0
Language: en-US
git_url: https://git.bioconductor.org/packages/beer
git_branch: RELEASE_3_22
git_last_commit: 820bb40
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-10-29
NeedsCompilation: no
Packaged: 2025-10-30 02:07:24 UTC; biocbuild
Author: Athena Chen [aut, cre] (ORCID: <https://orcid.org/0000-0001-6900-2264>),
  Rob Scharpf [aut],
  Ingo Ruczinski [aut]
Maintainer: Athena Chen <achen70@jhu.edu>
Built: R 4.5.1; ; 2025-10-30 09:16:58 UTC; unix
