[PRE REVIEW]: FDApy: a Python package for functional data

[editorialbot]

Submitting author: !--author-handle-->@StevenGolovkine<!--end-author-handle-- (Steven Golovkine) Repository: https://github.com/StevenGolovkine/FDApy Branch with paper.md (empty if default branch): Version: v1.0.2 Editor: !--editor-->@mstimberg<!--end-editor-- Reviewers: !--reviewers-list-->@quantgirluk<!--end-reviewers-list-- Managing EiC: Chris Vernon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.19 s (566.3 files/s, 177502.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          76           3868           7034          21263
TeX                              1             56              0            533
CSV                              3              0              0            439
YAML                             8             51             28            192
reStructuredText                17            141            220            174
TOML                             1              7              0             58
Markdown                         1             17              0             31
DOS Batch                        1              8              1             26
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                           109           4152           7290          22725
-------------------------------------------------------------------------------

Commit count by author:

  1152  StevenGolovkine
    12  Steven
     2  dependabot[bot]
     1  The Codacy Badger
     1  edwardgunning

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 680

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.48550/arXiv.2211.02566 is OK
- 10.5281/zenodo.7117735 is OK
- 10.1007/978-0-387-98185-7 is OK
- 10.18637/jss.v094.i10 is OK
- 10.18637/jss.v093.i05 is OK
- 10.1016/0270-9139(94)90144-9 is OK
- 10.18637/jss.v035.i09 is OK
- 10.48550/arXiv.2310.07330 is OK
- 10.1017/9781108610247 is OK
- 10.48550/arXiv.2211.02566 is OK
- 10.5281/zenodo.7117735 is OK
- 10.1007/978-0-387-98185-7 is OK
- 10.18637/jss.v094.i10 is OK
- 10.18637/jss.v093.i05 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: PEP8 - Style Guide for Python Code
- No DOI given, and none found for title: Functional Data Analysis
- No DOI given, and none found for title: Inference for Functional Data with Applications
- No DOI given, and none found for title: Introduction to Functional Data Analysis
- No DOI given, and none found for title: Sparse Multivariate Functional Principal Component...
- No DOI given, and none found for title: Multivariate Functional Principal Component Analys...
- No DOI given, and none found for title: On the Use of the Gram Matrix for Multivariate Fun...
- No DOI given, and none found for title: Tslearn, A Machine Learning Toolkit for Time Serie...
- No DOI given, and none found for title: Fda: Functional Data Analysis
- No DOI given, and none found for title: Refund: Regression with Functional Data
- No DOI given, and none found for title: API Design for Machine Learning Software: Experien...
- No DOI given, and none found for title: R: A Language and Environment for Statistical Comp...
- No DOI given, and none found for title: Functional Data Analysis for Sparse Longitudinal D...
- No DOI given, and none found for title: PEP8 - Style Guide for Python Code
- No DOI given, and none found for title: Functional Data Analysis
- No DOI given, and none found for title: Inference for Functional Data with Applications
- No DOI given, and none found for title: Introduction to Functional Data Analysis
- No DOI given, and none found for title: Sparse Multivariate Functional Principal Component...
- No DOI given, and none found for title: Multivariate Functional Principal Component Analys...
- No DOI given, and none found for title: On the Use of the Gram Matrix for Multivariate Fun...
- No DOI given, and none found for title: Tslearn, A Machine Learning Toolkit for Time Serie...
- No DOI given, and none found for title: Fda: Functional Data Analysis
- No DOI given, and none found for title: Refund: Regression with Functional Data

❌ MISSING DOIs

- 10.1080/14763141.2017.1384050 may be a valid DOI for title: Bivariate Functional Principal Components Analysis...
- 10.1016/j.csda.2021.107376 may be a valid DOI for title: Clustering Multivariate Functional Data Using Unsu...
- 10.1016/j.chemolab.2015.09.018 may be a valid DOI for title: Fault Detection of Batch Processes Based on Multiv...
- 10.1109/camsap.2013.6714047 may be a valid DOI for title: Multi-Way Functional Principal Components Analysis
- 10.32614/cran.package.funfem may be a valid DOI for title: funFEM: Clustering in the Discriminative Functiona...
- 10.32614/cran.package.funlbm may be a valid DOI for title: funLBM: Model-Based Co-Clustering of Functional Da...
- 10.32614/cran.package.fdasrvf may be a valid DOI for title: Fdasrvf: Elastic Functional Data Analysis
- 10.32614/cran.package.mfpca may be a valid DOI for title: MFPCA: Multivariate Functional Principal Component...
- 10.1080/14763141.2017.1384050 may be a valid DOI for title: Bivariate Functional Principal Components Analysis...
- 10.1016/j.csda.2021.107376 may be a valid DOI for title: Clustering Multivariate Functional Data Using Unsu...
- 10.1016/j.chemolab.2015.09.018 may be a valid DOI for title: Fault Detection of Batch Processes Based on Multiv...
- 10.1109/camsap.2013.6714047 may be a valid DOI for title: Multi-Way Functional Principal Components Analysis
- 10.32614/cran.package.funfem may be a valid DOI for title: funFEM: Clustering in the Discriminative Functiona...
- 10.32614/cran.package.funlbm may be a valid DOI for title: funLBM: Model-Based Co-Clustering of Functional Da...
- 10.32614/cran.package.fdasrvf may be a valid DOI for title: Fdasrvf: Elastic Functional Data Analysis
- 10.32614/cran.package.mfpca may be a valid DOI for title: MFPCA: Multivariate Functional Principal Component...

❌ INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@editorialbot invite @lrnv as editor

:wave: @lrnv - are you available to take this one on?

[editorialbot]

Invitation to edit this submission sent!

[lrnv]

@crvernon Hey thanks for the proposal. I'd rather not since I'm not a python guy and I don't know much about functional data :/

[StevenGolovkine]

Hi,

Here are some people that may fit to review the paper: James Patrick Horine, mhu48, Lingfeng Luo, Saranraj Nambusubramaniyan, Mahmood Almansoori.

[crvernon]

@editorialbot invite @mstimberg as editor

:wave: @mstimberg can you take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[mstimberg]

@editorialbot assign me as editor

@crvernon Yes, happy to take this!

[editorialbot]

Assigned! @mstimberg is now the editor

[mstimberg]

👋 @StevenGolovkine I will be the editor for your submission, looking forward to working with you.

The first step is to look for reviewers. I will do this mostly over email, so don't be surprised if you won't see much activity here. Many thanks for your reviewer suggestions, I will take them into account.

[mstimberg]

@editorialbot add @quantgirluk as reviewer

Thanks again for helping out!

[editorialbot]

@quantgirluk added to the reviewers list!