# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "alkahest" in publications use:' type: software license: GPL-3.0-or-later title: 'alkahest: Pre-Processing XY Data from Experimental Methods' version: 1.1.1 doi: 10.5281/zenodo.7081524 abstract: 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. authors: - family-names: Frerebeau given-names: Nicolas email: nicolas.frerebeau@u-bordeaux-montaigne.fr orcid: https://orcid.org/0000-0001-5759-4944 affiliation: Université Bordeaux Montaigne preferred-citation: type: manual title: 'alkahest: Pre-Processing XY Data from Experimental Methods' authors: - family-names: Frerebeau given-names: Nicolas email: nicolas.frerebeau@u-bordeaux-montaigne.fr orcid: https://orcid.org/0000-0001-5759-4944 affiliation: Université Bordeaux Montaigne year: '2023' institution: name: Université Bordeaux Montaigne address: Pessac, France notes: R package version 1.1.1 url: https://packages.tesselle.org/alkahest/ doi: 10.5281/zenodo.7081524 repository: https://CRAN.R-project.org/package=alkahest repository-code: https://github.com/tesselle/alkahest url: https://packages.tesselle.org/alkahest/ date-released: '2023-06-13' contact: - family-names: Frerebeau given-names: Nicolas email: nicolas.frerebeau@u-bordeaux-montaigne.fr orcid: https://orcid.org/0000-0001-5759-4944 affiliation: Université Bordeaux Montaigne