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alkahest: Pre-Processing XY Data from Experimental Methods

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.

Version: 1.2.0
Depends: R (≥ 3.5.0)
Imports: grDevices, methods, stats, utils
Suggests: knitr, Matrix, markdown, tinytest
Published: 2024-07-26
DOI: 10.32614/CRAN.package.alkahest
Author: Nicolas Frerebeau ORCID iD [aut, cre] (Université Bordeaux Montaigne), Brice Lebrun ORCID iD [ctb] (Logo designer), Université Bordeaux Montaigne [fnd], CNRS [fnd]
Maintainer: Nicolas Frerebeau <nicolas.frerebeau at u-bordeaux-montaigne.fr>
BugReports: https://github.com/tesselle/alkahest/issues
License: GPL (≥ 3)
URL: https://packages.tesselle.org/alkahest/, https://github.com/tesselle/alkahest
NeedsCompilation: no
Citation: alkahest citation info
Materials: README NEWS
CRAN checks: alkahest results

Documentation:

Reference manual: alkahest.pdf
Vignettes: Baseline
Smoothing Methods

Downloads:

Package source: alkahest_1.2.0.tar.gz
Windows binaries: r-devel: alkahest_1.2.0.zip, r-release: alkahest_1.2.0.zip, r-oldrel: alkahest_1.2.0.zip
macOS binaries: r-release (arm64): alkahest_1.2.0.tgz, r-oldrel (arm64): alkahest_1.2.0.tgz, r-release (x86_64): alkahest_1.2.0.tgz, r-oldrel (x86_64): alkahest_1.2.0.tgz
Old sources: alkahest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=alkahest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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