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[PRE REVIEW]: FDApy: a Python package for functional data #7444

Open editorialbot opened 3 days ago

editorialbot commented 3 days ago

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: Pending Reviewers: Pending Managing EiC: Chris Vernon

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HTML: <a href="https://joss.theoj.org/papers/52409c2b91a69a153d09cb8b1a6c36e4"><img src="https://joss.theoj.org/papers/52409c2b91a69a153d09cb8b1a6c36e4/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/52409c2b91a69a153d09cb8b1a6c36e4/status.svg)](https://joss.theoj.org/papers/52409c2b91a69a153d09cb8b1a6c36e4)

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editorialbot commented 3 days ago

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editorialbot commented 3 days ago

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 commented 3 days ago

Paper file info:

📄 Wordcount for paper.md is 680

✅ The paper includes a Statement of need section

editorialbot commented 3 days ago

License info:

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

editorialbot commented 3 days ago
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 commented 3 days ago

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

editorialbot commented 3 days ago

Five most similar historical JOSS papers:

registr 2.0: Incomplete Curve Registration for Exponential Family Functional Data Submitting author: @bauer-alex Handling editor: @mbobra (Active) Reviewers: @qpmnguyen, @g4brielvs Similarity score: 0.7063

ewstools: A Python package for early warning signals of bifurcations in time series data Submitting author: @ThomasMBury Handling editor: @osorensen (Active) Reviewers: @mhu48, @mikesha2, @ranzhengcode Similarity score: 0.6934

RENT: A Python Package for Repeated Elastic Net Feature Selection Submitting author: @annajenul Handling editor: @mikldk (Retired) Reviewers: @maximtrp, @arunmano121 Similarity score: 0.6868

tsfeaturex: An R Package for Automating Time Series Feature Extraction Submitting author: @nelsonroque Handling editor: @xuanxu (Active) Reviewers: @acolum, @aj2duncan Similarity score: 0.6864

Systole: A python package for cardiac signal synchrony and analysis Submitting author: @LegrandNico Handling editor: @osorensen (Active) Reviewers: @axel-loewe, @janfreyberg Similarity score: 0.6842

⚠️ 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 commented 3 days ago

@editorialbot invite @lrnv as editor

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

editorialbot commented 3 days ago

Invitation to edit this submission sent!

lrnv commented 3 days ago

@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 commented 21 hours ago

Hi,

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

crvernon commented 14 hours ago

@editorialbot invite @mstimberg as editor

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

editorialbot commented 14 hours ago

Invitation to edit this submission sent!