Package: tidyproteomics
Title: An S3 data object and framework for common quantitative
        proteomic analyses
Version: 1.9.14
Authors@R: 
    person("Jeff", "Jones", , "jeffj@caltech.edu", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-7142-2222"))
Description: Creates a simple, universal S3 data structure for the post
        analysis of mass spectrometry based quantitative proteomic
        data. In addition, this package collects, adapts and organizes
        several useful algorithms and methods used in typical post
        analysis workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
VignetteBuilder: knitr
Suggests: utils, knitr, missForest, MSstats, testthat (>= 3.0.0)
Config/testthat/edition: 3
Imports: BiocParallel, Biostrings, broom, cli, digest, doParallel,
        dplyr, e1071, eulerr, fgsea, forcats, ggplot2, ggrepel, glue,
        grDevices, gridExtra, limma, magrittr, methods, parallel,
        pheatmap, prettyunits, purrr, randomForest, RColorBrewer,
        readr, readxl, rlang, scales, stringr, tibble, tidyr,
        tidyselect, vroom, writexl
Depends: R (>= 4.1.0)
LazyData: true
URL: https://jeffsocal.github.io/tidyproteomics/
Config/pak/sysreqs: libicu-dev libx11-dev zlib1g-dev libclang-dev
Repository: https://blaserlab.r-universe.dev
Date/Publication: 2026-10-13 20:54:37 UTC
RemoteUrl: https://github.com/jeffsocal/tidyproteomics
RemoteRef: HEAD
RemoteSha: 6a26c30e19fe8c46af03d8b3850cac915456041e
NeedsCompilation: no
Packaged: 2026-10-13 23:30:04 UTC; root
Author: Jeff Jones [aut, cre] (ORCID: <https://orcid.org/0000-0002-7142-2222>)
Maintainer: Jeff Jones <jeffj@caltech.edu>