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DESCRIPTION
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Package: alkahest
Title: Pre-Processing XY Data from Experimental Methods
Version: 1.2.0
Authors@R: c(
person("Nicolas", "Frerebeau", , "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0001-5759-4944", affiliation = "Université Bordeaux Montaigne")),
person("Brice", "Lebrun", , "[email protected]", role = "ctb",
comment = c(ORCID = "0000-0001-7503-8685", "Logo designer")),
person("Université Bordeaux Montaigne", role = "fnd"),
person("CNRS", role = "fnd")
)
Maintainer: Nicolas Frerebeau <[email protected]>
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://packages.tesselle.org/alkahest/,
https://github.com/tesselle/alkahest
BugReports: https://github.com/tesselle/alkahest/issues
Depends:
R (>= 3.5.0)
Imports:
grDevices,
methods,
stats,
utils
Suggests:
knitr,
Matrix,
markdown,
tinytest
VignetteBuilder:
knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
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'