Package: nmrrr
Type: Package
Title: Binning and Visualizing NMR Spectra in Environmental Samples
Version: 1.0.0
Authors@R: 
    c(person("Kaizad", "Patel",
      email = "kaizad.patel@pnnl.gov", 
      role = c("aut", "cre"),
      comment = c(ORCID = "0000-0001-6437-7809")),
    person("Allison", "Myers-Pigg",
      email = "allison.myers-pigg@pnnl.gov", 
      role = c("aut"),
      comment = c(ORCID = "0000-0002-6905-6841")),
    person("Ben", "Bond-Lamberty",
      email = "bondlamberty@pnnl.gov", 
      role = c("ctb"),
      comment = c(ORCID = "0000-0001-9525-4633")),
    person("Morgan", "Barnes",
      email = "morgan.barnes@pnnl.gov", 
      role = c("ctb"),
      comment = c(ORCID = "0000-0001-8722-6552")))
Description: A reproducible workflow for binning and visualizing NMR (nuclear magnetic resonance) spectra from environmental samples. The 'nmrrr' package is intended for post-processing of NMR data, including importing, merging and, cleaning data from multiple files, visualizing NMR spectra, performing binning/integrations for compound classes, and relative abundance calculations. 
    This package can be easily inserted into existing analysis workflows by users to help with analyzing and interpreting NMR data. 
URL: https://github.com/kaizadp/nmrrr
BugReports: https://github.com/kaizadp/nmrrr/issues
License: MIT + file LICENSE
Copyright: Battelle Memorial Institute
Encoding: UTF-8
RoxygenNote: 7.2.3
Imports: DescTools, ggplot2, tidyr, utils
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0), tibble
Config/testthat/edition: 3
Depends: R (>= 3.50)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-09 17:27:00 UTC; pate212
Author: Kaizad Patel [aut, cre] (<https://orcid.org/0000-0001-6437-7809>),
  Allison Myers-Pigg [aut] (<https://orcid.org/0000-0002-6905-6841>),
  Ben Bond-Lamberty [ctb] (<https://orcid.org/0000-0001-9525-4633>),
  Morgan Barnes [ctb] (<https://orcid.org/0000-0001-8722-6552>)
Maintainer: Kaizad Patel <kaizad.patel@pnnl.gov>
Repository: CRAN
Date/Publication: 2023-05-10 16:10:02 UTC
Built: R 4.4.3; ; 2025-10-21 15:25:31 UTC; windows
