CITATION.cff

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
  - family-names: "Ramos-Carreño"
    given-names: "Carlos"
    orcid: "https://orcid.org/0000-0003-2566-7058"
    affiliation: "Universidad Autónoma de Madrid"
    email: vnmabus@gmail.com
  - family-names: "Suárez"
    given-names: "Alberto"
    orcid: "https://orcid.org/0000-0003-4534-0909"
    affiliation: "Universidad Autónoma de Madrid"
  - family-names: "Torrecilla"
    given-names: "José Luis"
    orcid: "https://orcid.org/0000-0003-3719-5190"
    affiliation: "Universidad Autónoma de Madrid"
  - family-names: "Carbajo Berrocal"
    given-names: "Miguel"
  - family-names: "Marcos Manchón"
    given-names: "Pablo"
  - family-names: "Pérez Manso"
    given-names: "Pablo"
  - family-names: "Hernando Bernabé"
    given-names: "Amanda"
  - family-names: "García Fernández"
    given-names: "David"
  - family-names: "Hong"
    given-names: "Yujian"
  - family-names: "Rodríguez-Ponga Eyriès"
    given-names: "Pedro Martín"
  - family-names: "Sánchez Romero"
    given-names: "Álvaro"
  - family-names: "Petrunina"
    given-names: "Elena"
  - family-names: "Castillo"
    given-names: "Álvaro"
  - family-names: "Serna"
    given-names: "Diego"
  - family-names: "Hidalgo"
    given-names: "Rafael"
title: "GAA-UAM/scikit-fda: Functional Data Analysis in Python"
doi: 10.5281/zenodo.3468127
date-released: 2019-10-01
url: "https://github.com/GAA-UAM/scikit-fda"
license: BSD-3-Clause
keywords:
  - functional data analysis
  - machine learning
  - Python
  - scikit
identifiers:
  - description: "This is the collection of archived snapshots of all versions of scikit-fda"
    type: doi
    value: 10.5281/zenodo.3468127
  - description: "This is the archived snapshot of version 0.3 of scikit-fda"
    type: doi
    value: 10.5281/zenodo.3468128
  - description: "This is the archived snapshot of version 0.4 of scikit-fda"
    type: doi
    value: 10.5281/zenodo.3957915
  - description: "This is the archived snapshot of version 0.5 of scikit-fda"
    type: doi
    value: 10.5281/zenodo.4406983
  - description: "This is the archived snapshot of version 0.6 of scikit-fda"
    type: doi
    value: 10.5281/zenodo.5502108
  - description: "This is the archived snapshot of version 0.7.1 of scikit-fda"
    type: doi
    value: 10.5281/zenodo.5903557
preferred-citation:
  type: article
  title: "scikit-fda: A Python Package for Functional Data Analysis"
  authors:
    - family-names: "Ramos-Carreño"
      given-names: "Carlos"
      orcid: "https://orcid.org/0000-0003-2566-7058"
      affiliation: "Universidad Autónoma de Madrid"
      email: vnmabus@gmail.com
    - family-names: "Torrecilla"
      given-names: "José L."
      orcid: "https://orcid.org/0000-0003-3719-5190"
      affiliation: "Universidad Autónoma de Madrid"
      email: joseluis.torrecilla@uam.es
    - family-names: "Carbajo Berrocal"
      given-names: "Miguel"
    - family-names: "Marcos Manchón"
      given-names: "Pablo"
    - family-names: "Suárez"
      given-names: "Alberto"
      orcid: "https://orcid.org/0000-0003-4534-0909"
      affiliation: "Universidad Autónoma de Madrid"
  date-published: 2024-05-08
  abstract: "The library scikit-fda is a Python package for functional data analysis (FDA). It provides a comprehensive set of tools for representation, preprocessing, and exploratory analysis of functional data. The library is built upon and integrated in Python's scientific ecosystem. In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: Pipelines, model selection, and hyperparameter tuning, among others. The scikit-fda package has been released as free and open-source software under a 3-clause BSD license and is open to contributions from the FDA community. The library's extensive documentation includes step-by-step tutorials and detailed examples of use."
  doi: 10.18637/jss.v109.i02
  institution:
    name: "Universidad Autónoma de Madrid"
  issn: "1548-7660"
  issue-date: "2024-05-08"
  journal: "Journal of Statistical Software"
  keywords:
    - "functional data analysis"
    - "computational statistics"
    - "interactive data visualization"
    - "Python"
    - "scikit-learn"
  languages:
    - en
  license: CC-BY-3.0
  publisher:
    name: "Foundation for Open Access Statistics"
  url: "https://www.jstatsoft.org/article/view/v109i02"
  volume: 109
  issue: 2
  start: 1
  end: 37