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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 |
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 |
Reference manual: | alkahest.pdf |
Vignettes: |
Baseline Smoothing Methods |
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 |
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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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