Published July 26, 2024
| Version v1.2.0
Software
Open
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) , Rolling Ball algorithm after Kneen and Annegarn (1996) , SNIP algorithm after Ryan et al. (1988) , 4S Peak Filling after Liland (2015) and more.
Files
tesselle/alkahest-v1.2.0.zip
Files
(859.5 kB)
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Additional details
Related works
- Is supplement to
- Software: https://codeberg.org/tesselle/alkahest/src/tag/v1.2.0 (URL)
Software
- Repository URL
- https://codeberg.org/tesselle/alkahest
- Programming language
- R
- Development Status
- Active