RaMS: R Access to Mass-Spec Data

R-based access to mass-spectrometry (MS) data. While many packages exist to process MS data, many of these make it difficult to access the underlying mass-to-charge ratio (m/z), intensity, and retention time of the files themselves. This package is designed to format MS data in a tidy fashion and allows the user perform the plotting and analysis.

Version: 1.4.0
Imports: xml2, base64enc, data.table, utils, stats
Suggests: testthat, knitr, rmarkdown, tidyverse, ggplot2, dplyr, plotly, openxlsx, DBI, RSQLite, reticulate, BiocParallel, Spectra, arrow, microbenchmark, rvest
Published: 2024-03-02
DOI: 10.32614/CRAN.package.RaMS
Author: William Kumler [aut, cre, cph], Ricardo Cunha [ctb], Ethan Bass [ctb]
Maintainer: William Kumler <wkumler at uw.edu>
BugReports: https://github.com/wkumler/RaMS/issues
License: MIT + file LICENSE
URL: https://github.com/wkumler/RaMS
NeedsCompilation: no
Citation: RaMS citation info
Materials: README NEWS
In views: ChemPhys
CRAN checks: RaMS results


Reference manual: RaMS.pdf
Vignettes: Intro-to-RaMS


Package source: RaMS_1.4.0.tar.gz
Windows binaries: r-devel: RaMS_1.4.0.zip, r-release: RaMS_1.4.0.zip, r-oldrel: RaMS_1.4.0.zip
macOS binaries: r-release (arm64): RaMS_1.4.0.tgz, r-oldrel (arm64): RaMS_1.4.0.tgz, r-release (x86_64): RaMS_1.4.0.tgz, r-oldrel (x86_64): RaMS_1.4.0.tgz
Old sources: RaMS archive

Reverse dependencies:

Reverse imports: RawHummus


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