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: | 1.0.0 |
| Depends: | R (≥ 3.3) |
| Imports: | grDevices, methods, stats, utils |
| Suggests: | knitr, Matrix, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2022-09-15 |
| Author: | Nicolas Frerebeau 
[aut, cre] (Université Bordeaux Montaigne),
Brice Lebrun
[ctb] |
| 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: |
Bibliography |
Downloads:
| Package source: | alkahest_1.0.0.tar.gz |
| Windows binaries: | r-devel: alkahest_1.0.0.zip, r-release: alkahest_1.0.0.zip, r-oldrel: alkahest_1.0.0.zip |
| macOS binaries: | r-release (arm64): alkahest_1.0.0.tgz, r-oldrel (arm64): alkahest_1.0.0.tgz, r-release (x86_64): alkahest_1.0.0.tgz, r-oldrel (x86_64): alkahest_1.0.0.tgz |
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