alkahest/DESCRIPTION at main · tesselle/alkahest · GitHub

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Package: alkahest
Title: Pre-Processing XY Data from Experimental Methods
Version: 1.3.0.9000
Authors@R: c(
    person("Nicolas", "Frerebeau", , "nicolas.frerebeau@u-bordeaux-montaigne.fr", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0001-5759-4944")),
    person("Brice", "Lebrun", role = "art",
           comment = c(ORCID = "0000-0001-7503-8685", "Logo designer")),
    person("Université Bordeaux Montaigne", role = "fnd",
           comment = c(ROR = "03pbgwk21")),
    person("CNRS", role = "fnd",
           comment = c(ROR = "02feahw73"))
  )
Maintainer: Nicolas Frerebeau <nicolas.frerebeau@u-bordeaux-montaigne.fr>
Description: A lightweight, dependency-free toolbox for pre-processing XY
    data from experimental methods (i.e. any signal that can be measured
    along a continuous variable). This package provides methods for
    baseline estimation and correction, smoothing, normalization,
    integration and peaks detection. Baseline correction methods includes
    polynomial fitting as described in Lieber and Mahadevan-Jansen (2003)
    <doi:10.1366/000370203322554518>, Rolling Ball algorithm after Kneen
    and Annegarn (1996) <doi:10.1016/0168-583X(95)00908-6>, SNIP algorithm
    after Ryan et al. (1988) <doi:10.1016/0168-583X(88)90063-8>, 4S Peak
    Filling after Liland (2015) <doi:10.1016/j.mex.2015.02.009> and more.
License: GPL (>= 3)
URL: https://codeberg.org/tesselle/alkahest,
    https://tesselle.r-universe.dev/alkahest,
    https://packages.tesselle.org/alkahest/
BugReports: https://codeberg.org/tesselle/alkahest/issues
Depends:
    R (>= 3.5.0)
Imports:
    grDevices,
    methods,
    stats,
    utils
Suggests:
    knitr,
    markdown,
    Matrix,
    tinytest
VignetteBuilder:
    knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
X-schema.org-isPartOf: https://www.tesselle.org
X-schema.org-keywords: spectroscopy, archaeometry, r-package
Collate:
    'AllGenerics.R'
    'alkahest-internal.R'
    'alkahest-package.R'
    'baseline.R'
    'data.R'
    'integrate.R'
    'peaks.R'
    'replace.R'
    'resample.R'
    'rescale.R'
    'signal.R'
    'smooth.R'
    'windows.R'
    'xrd.R'