Open editorialbot opened 3 days ago
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
Software report:
github.com/AlDanial/cloc v 1.90 T=0.21 s (382.0 files/s, 40221.9 lines/s)
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Language files blank comment code
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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
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SUM: 80 1046 1997 5380
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Commit count by author:
154 Logan Bhamidipaty
36 Logan Mondal Bhamidipaty
2 dependabot[bot]
1 CompatHelper Julia
Paper file info:
📄 Wordcount for paper.md
is 1337
✅ The paper includes a Statement of need
section
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
License info:
✅ License found: MIT License
(Valid open source OSI approved license)
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
👋🏼 @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 https://github.com/openjournals/joss-reviews/issues/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 :)
Submitting author: !--author-handle-->@FlyingWorkshop<!--end-author-handle-- (Logan Bhamidipaty) Repository: https://github.com/sisl/ExpFamilyPCA.jl Branch with paper.md (empty if default branch): Version: v1.1.0 Editor: !--editor-->@lrnv<!--end-editor-- Reviewers: @ManuelStapper, @gdalle, @dufourc1 Archive: Pending
Status
Status badge code:
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:
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