[PRE REVIEW]: LKIF: A Python/Matlab/R Package for Quantitative Causality Analysis - The Liang-Kleeman Information Flow Analysis

[editorialbot]

Submitting author: !--author-handle-->@YinengRong<!--end-author-handle-- (Yineng Rong) Repository: https://github.com/YinengRong/LKIF Branch with paper.md (empty if default branch): Version: v.3.1.2 Editor: Pending Reviewers: Pending Managing EiC: Chris Vernon

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.10 s (385.0 files/s, 69671.0 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                                9            281             88            974
Python                          14            272            381            803
Jupyter Notebook                 1              0           1093            545
Markdown                         4            218              0            493
MATLAB                           7            260            390            415
TeX                              1             59              0            400
TOML                             1              2              0             22
-------------------------------------------------------------------------------
SUM:                            37           1092           1952           3652
-------------------------------------------------------------------------------

Commit count by author:

    76  YinengRong

[editorialbot]

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

OK DOIs

- 10.1029/2019GL084329 is OK
- 10.1029/2021GL095892 is OK
- 10.1103/PhysRevE.78.031113 is OK
- 10.1038/srep21691 is OK
- 10.1103/PhysRevE.90.052150 is OK
- 10.1103/PhysRevE.92.022126 is OK
- 10.1103/PhysRevE.94.052201 is OK
- 10.1016/j.asoc.2019.105549 is OK
- 10.1007/s00382-020-05584-w is OK
- 10.3389/fnhum.2019.00419 is OK
- 10.3390/e15010327 is OK
- 10.1063/1.5010253 is OK
- 10.1103/PhysRevLett.95.244101 is OK
- 10.3390/e23060679 is OK
- 10.1109/TGRS.2022.3140398 is OK
- 10.24818/18423264/54.4.20.13 is OK
- 10.1109/ACCESS.2021.3068273 is OK
- 10.1103/PhysRevLett.129.020501 is OK
- 10.1109/TSP.2024.3358580 is OK
- 10.1007/s41066-023-00417-7 is OK
- 10.34133/olar.0026 is OK
- 10.3390/e24010003 is OK
- 10.1002/hbm.26209 is OK
- 10.1007/PL00007990 is OK

MISSING DOIs

- 10.1017/cbo9780511802577.006 may be a valid DOI for title: A TREATISE CONCERNING THE PRINCIPLES OF HUMAN KNOW...
- 10.1080/00949655.2018.1505197 may be a valid DOI for title: Elements of causal inference: foundations and lear...
- 10.1145/3159652.3176182 may be a valid DOI for title: Theoretical impediments to machine learning with s...
- No DOI given, and none found for title: Causality: models, reasoning and inference
- No DOI given, and none found for title: A Meta-Transfer objective for learning to disentan...

INVALID DOIs

- None

[editorialbot]

:warning: An error happened when generating the pdf.

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 2292

✅ The paper includes a Statement of need section

[editorialbot]

License info:

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

[crvernon]

@editorialbot query scope

:wave: @YinengRong - Thank you for your submission to JOSS. I am going to place this one through review with our larger editorial board to ensure it meets the substantial scholarly effort requirement. This process should take about 2 weeks and I will let you know as soon as possible about the status. Thanks!

[editorialbot]

Submission flagged for editorial review.

[crvernon]

@editorialbot reject

:wave: @YinengRong - Thank you for your submission to JOSS. After further review with our larger editorial board we have voted to reject your submission due to not meeting the substantial scholarly effort requirements for JOSS. Here were some specific comments highlighted by our editorial board:

• Low lines of code per implementation
• Short commit history
• Lack of automated tests
• R and MATLAB code not in package form

Kind regards.

[editorialbot]

Paper rejected.