alkahest-package: alkahest: Pre-Processing XY Data from Experimental Methods
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) tools:::Rd_expr_doi("10.1366/000370203322554518"), Rolling Ball algorithm after Kneen and Annegarn (1996) tools:::Rd_expr_doi("10.1016/0168-583X(95)00908-6"), SNIP algorithm after Ryan et al. (1988) tools:::Rd_expr_doi("10.1016/0168-583X(88)90063-8"), 4S Peak Filling after Liland (2015) tools:::Rd_expr_doi("10.1016/j.mex.2015.02.009") and more.
Arguments
Author
Full list of authors and contributors (alphabetic order)
| Nicolas Frerebeau | Université Bordeaux Montaigne, France |
| Brice Lebrun | Université Bordeaux Montaigne, France |
Package maintainer
Nicolas Frerebeau
nicolas.frerebeau@u-bordeaux-montaigne.fr
Archéosciences Bordeaux (UMR 6034)
Maison de l'Archéologie
Université Bordeaux Montaigne
33607 Pessac cedex
France
Details
| Package: | alkahest |
| Type: | Package |
| Version: | 1.3.0 |
| License: | GPL-3 |
| Zenodo: | tools:::Rd_expr_doi("10.5281/zenodo.7081524") |
See Also
Useful links: