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[REVIEW]: PyVBMC: Efficient Bayesian inference in Python #5428
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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:
For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
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Review checklist for @isdanniConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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Review checklist for @matt-grahamConflict of interest
Code of Conduct
General checks
Functionality
Documentation
Software paper
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🔔 Hi all, checking in on progress here! |
Thanks for the reminder! I will finish the initial round of review by this weekend. |
Hi @rkurchin. I've now completed my review checklist and all the issues I raised while reviewing the code and documentation have now been addressed by the authors, so from my perspective no further changes needed. |
I also have no further questions. Functionality and performance features are confirmed as well. |
Post-Review Checklist for Editor and AuthorsAdditional Author Tasks After Review is Complete
Editor Tasks Prior to Acceptance
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@editorialbot check references |
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@editorialbot generate pdf |
Some final steps here (see checklist above):
I'll post some editorial feedback on the manuscript itself shortly. |
Editorial comments on manuscript (very nicely written, this is by far the fewest editorial comments I've ever given! 🤩):
As a separate remark, this looks like really cool software and actually may be just the tool I need for some of my own work, so I'll likely start playing around with it myself! 😁 |
Thanks @matt-graham and @isdanni for the review, and thanks @rkurchin for the feedback and kind remarks! Glad to hear we might have found another user 🙂 I have just updated the paper with your comments. Mikko does not have an ORCID, but I will complete the other steps shortly and comment with the DOI + version number. |
@editorialbot generate pdf |
@rkurchin no problem, thanks for catching these, they should be fixed now. |
@editorialbot recommend-accept |
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👋 @openjournals/dsais-eics, this paper is ready to be accepted and published. Check final proof 👉📄 Download article If the paper PDF and the deposit XML files look good in openjournals/joss-papers#4268, then you can now move forward with accepting the submission by compiling again with the command |
Hi, I just wanted to double-check that you don't need any further action on our end, for the moment (the final proof looks good to me). |
@Bobby-Huggins Yes, I will be able to take things from here. Thanks! |
@editorialbot accept |
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Thanks everyone for the smooth review process! Everything looks good to me, but I don't see an option to close the issue on my end. |
@Bobby-Huggins I will take care of this! Congratulations!! |
🎉🎉🎉 Congratulations on your paper acceptance! 🎉🎉🎉 If you would like to include a link to your paper from your README use the following code snippets:
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👋 @Bobby-Huggins, the |
Submitting author: @Bobby-Huggins (Bobby Huggins)
Repository: https://github.com/acerbilab/pyvbmc
Branch with paper.md (empty if default branch): joss-submission
Version: 1.0.1
Editor: @rkurchin
Reviewers: @matt-graham, @isdanni
Archive: 10.5281/zenodo.7966315
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
@matt-graham & @isdanni, 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 @rkurchin 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 @isdanni
📝 Checklist for @matt-graham
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