Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

[REVIEW]: ExpFamilyPCA.jl: A Julia Package for Exponential Family Principal Component Analysis #7403

Open
editorialbot opened this issue Oct 24, 2024 · 9 comments
Assignees
Labels
review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

Comments

@editorialbot
Copy link
Collaborator

editorialbot commented Oct 24, 2024

Submitting author: @FlyingWorkshop (Logan Bhamidipaty)
Repository: https://github.com/sisl/ExpFamilyPCA.jl
Branch with paper.md (empty if default branch):
Version: v1.1.0
Editor: @lrnv
Reviewers: @ManuelStapper, @gdalle, @dufourc1
Archive: Pending

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc"><img src="https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc/status.svg)](https://joss.theoj.org/papers/8c617a932d19b28d5ac0299b23d2c8dc)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@ManuelStapper & @gdalle & @dufourc1, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @lrnv know.

Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest

Checklists

📝 Checklist for @gdalle

📝 Checklist for @ManuelStapper

@editorialbot
Copy link
Collaborator Author

Hello humans, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

@editorialbot
Copy link
Collaborator Author

Software report:

github.com/AlDanial/cloc v 1.90  T=0.21 s (382.0 files/s, 40221.9 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
TOML                             3            341              1           1554
Julia                           30            203            242           1389
JavaScript                       4            137            182            884
Markdown                        22            295              0            715
TeX                              2             53              0            447
Jupyter Notebook                 1              0           1551            162
YAML                             5              1              7            143
Lisp                             1              4              0             42
HTML                             2             10              0             32
CSS                              6              1             13              6
Bourne Shell                     1              1              1              3
JSON                             3              0              0              3
-------------------------------------------------------------------------------
SUM:                            80           1046           1997           5380
-------------------------------------------------------------------------------

Commit count by author:

   154	Logan Bhamidipaty
    36	Logan Mondal Bhamidipaty
     2	dependabot[bot]
     1	CompatHelper Julia

@editorialbot
Copy link
Collaborator Author

Paper file info:

📄 Wordcount for paper.md is 1337

✅ The paper includes a Statement of need section

@editorialbot
Copy link
Collaborator Author

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

✅ OK DOIs

- 10.20382/JOCG.V9I2A6 is OK
- 10.1016/j.sigpro.2012.09.005 is OK
- 10.1016/j.chemolab.2017.05.002 is OK
- 10.1006/jcss.2001.1798 is OK
- 10.48550/arXiv.1209.5145 is OK
- 10.21105/joss.00615 is OK
- 10.1016/0041-5553(67)90040-7 is OK
- 10.13140/RG.2.2.11834.70084 is OK
- 10.1145/3511528.3511535 is OK
- 10.1109/TNNLS.2012.2234134 is OK
- 10.1613/jair.1496 is OK
- 10.1198/016214504000000692 is OK
- 10.1080/14786440109462720 is OK
- 10.1007/s42519-021-00238-4 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Compositional data analysis
- No DOI given, and none found for title: Debiasing Sample Loadings and Scores in Exponentia...
- No DOI given, and none found for title: Compositional Data Regression in Insurance with Ex...
- No DOI given, and none found for title: Clustering with Bregman Divergences
- No DOI given, and none found for title: Compositional Data Regression in Insurance with Ex...
- No DOI given, and none found for title: LogExpFunctions.jl
- No DOI given, and none found for title: The Unreasonable Effectiveness of Multiple Dispatc...
- No DOI given, and none found for title: Analysis Synthesis Telephony Based on the Maximum ...
- No DOI given, and none found for title: Exponential Family PCA for Belief Compression in P...
- No DOI given, and none found for title: E-PCA

❌ MISSING DOIs

- 10.7551/mitpress/1120.003.0084 may be a valid DOI for title: A Generalization of Principal Components Analysis ...
- 10.1007/bf02985802 may be a valid DOI for title: The Elements of Statistical Learning: Data Mining,...
- 10.2307/2347385 may be a valid DOI for title: A Look at Some Data on the Old Faithful Geyser
- 10.1017/cbo9780511755408.006 may be a valid DOI for title: Generalized Linear Models
- 10.1007/0-387-22440-8_13 may be a valid DOI for title: Principal component analysis for special types of ...
- 10.1037/h0071325 may be a valid DOI for title: Analysis of a complex of statistical variables int...

❌ INVALID DOIs

- https://doi.org/10.1023/A:1010896012157 is INVALID because of 'https://doi.org/' prefix

@editorialbot
Copy link
Collaborator Author

License info:

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

@editorialbot
Copy link
Collaborator Author

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

@lrnv
Copy link

lrnv commented Oct 24, 2024

👋🏼 @ManuelStapper, @gdalle, @dufourc1, @FlyingWorkshop : this is the review thread for the paper. All of our communications will happen here from now on, so that each of us can read what each other writes.

@ManuelStapper, @gdalle, @dufourc1, as reviewers, your first step is to create a checklist for yourself, to guide you through the review, by commenting

@editorialbot generate my checklist

on this thread. These checklists contain the JOSS requirements. As you go over the submission, please check any items that you feel have been satisfied. The first comment in this thread also contains links to the JOSS reviewer guidelines.

The JOSS review is different from most other journals. Our goal is to work with the authors to help them meet our criteria instead of merely passing judgment on the submission. As such, the reviewers are encouraged to submit issues and pull requests on the software repository. When doing so, please mention #7403 so that a link is created to this thread (and I can keep an eye on what is happening). Please also feel free to comment and ask questions on this thread. In my experience, it is better to post comments/questions/suggestions as you come across them instead of waiting until you've reviewed the entire package.

We aim for reviews to be completed within about 2-4 weeks. Please let me know if any of you require some more time. We can also use @editorialbot (our bot) to set automatic reminders if you know you'll be away for a known period of time.

Please feel free to ping me (@lrnv) if you have any questions/concerns, if something is unclear, or if you need more info about the process :)

@gdalle
Copy link

gdalle commented Oct 24, 2024

Review checklist for @gdalle

Conflict of interest

  • I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

General checks

  • Repository: Is the source code for this software available at the https://github.com/sisl/ExpFamilyPCA.jl?
  • License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
  • Contribution and authorship: Has the submitting author (@FlyingWorkshop) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
  • Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
  • Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
  • Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
  • Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

  • Installation: Does installation proceed as outlined in the documentation?
  • Functionality: Have the functional claims of the software been confirmed?
  • Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)

Documentation

  • A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
  • Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
  • Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
  • Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
  • Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
  • Community guidelines: Are there clear guidelines for third parties wishing to 1. Contribute to the software 2. Report issues or problems with the software 3. Seek support

Software paper

  • Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
  • A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
  • State of the field: Do the authors describe how this software compares to other commonly-used packages?
  • Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
  • References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

@ManuelStapper
Copy link

ManuelStapper commented Oct 29, 2024

Review checklist for @ManuelStapper

Conflict of interest

  • I confirm that I have read the JOSS conflict of interest (COI) policy and that: I have no COIs with reviewing this work or that any perceived COIs have been waived by JOSS for the purpose of this review.

Code of Conduct

General checks

  • Repository: Is the source code for this software available at the https://github.com/sisl/ExpFamilyPCA.jl?
  • License: Does the repository contain a plain-text LICENSE or COPYING file with the contents of an OSI approved software license?
  • Contribution and authorship: Has the submitting author (@FlyingWorkshop) made major contributions to the software? Does the full list of paper authors seem appropriate and complete?
  • Substantial scholarly effort: Does this submission meet the scope eligibility described in the JOSS guidelines
  • Data sharing: If the paper contains original data, data are accessible to the reviewers. If the paper contains no original data, please check this item.
  • Reproducibility: If the paper contains original results, results are entirely reproducible by reviewers. If the paper contains no original results, please check this item.
  • Human and animal research: If the paper contains original data research on humans subjects or animals, does it comply with JOSS's human participants research policy and/or animal research policy? If the paper contains no such data, please check this item.

Functionality

  • Installation: Does installation proceed as outlined in the documentation?
  • Functionality: Have the functional claims of the software been confirmed?
  • Performance: If there are any performance claims of the software, have they been confirmed? (If there are no claims, please check off this item.)

Documentation

  • A statement of need: Do the authors clearly state what problems the software is designed to solve and who the target audience is?
  • Installation instructions: Is there a clearly-stated list of dependencies? Ideally these should be handled with an automated package management solution.
  • Example usage: Do the authors include examples of how to use the software (ideally to solve real-world analysis problems).
  • Functionality documentation: Is the core functionality of the software documented to a satisfactory level (e.g., API method documentation)?
  • Automated tests: Are there automated tests or manual steps described so that the functionality of the software can be verified?
  • Community guidelines: Are there clear guidelines for third parties wishing to 1. Contribute to the software 2. Report issues or problems with the software 3. Seek support

Software paper

  • Summary: Has a clear description of the high-level functionality and purpose of the software for a diverse, non-specialist audience been provided?
  • A statement of need: Does the paper have a section titled 'Statement of need' that clearly states what problems the software is designed to solve, who the target audience is, and its relation to other work?
  • State of the field: Do the authors describe how this software compares to other commonly-used packages?
  • Quality of writing: Is the paper well written (i.e., it does not require editing for structure, language, or writing quality)?
  • References: Is the list of references complete, and is everything cited appropriately that should be cited (e.g., papers, datasets, software)? Do references in the text use the proper citation syntax?

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning
Projects
None yet
Development

No branches or pull requests

4 participants