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[REVIEW]: UltraNest - a robust, general purpose Bayesian inference engine #3001
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. @mattpitkin, @ziatdinovmax it looks like you're currently assigned to review this paper 🎉. Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post. ⭐ Important ⭐ If you haven't already, you should seriously consider unsubscribing from GitHub notifications for this (https://github.com/openjournals/joss-reviews) repository. As a reviewer, you're probably currently watching this repository which means for GitHub's default behaviour you will receive notifications (emails) for all reviews 😿 To fix this do the following two things:
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PDF failed to compile for issue #3001 with the following error: Can't find any papers to compile :-( |
@JohannesBuchner for the conda installation instructions in the documentation can you add that you need to explicitly specify the
or
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@JohannesBuchner can you merge the |
I'd rather not, I understood I can use a branch https://joss.readthedocs.io/en/latest/submitting.html#submission-requirements
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@whedon generate pdf from branch joss-paper |
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@JohannesBuchner thanks for regenerating. I hadn't realised there was a method to generate it from a different branch! |
@JohannesBuchner can you add the DOI https://doi.org/10.1021/acs.jctc.9b00567 for the Griffiths & Wales paper? Can you also update the Higson, Handley, Hobson & Lasenby paper to the published version as given here? |
Minor paper comments:
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Hello, @ziatdinovmax - How is the review going? Please feel free to make comments in this thread. Also, please feel free to "@" mention me. I can try to help with any issues or clarifications. thanks again! |
@fboehm My apologies for the delay on my end. I will add my comments shortly. |
👋 @ziatdinovmax, please update us on how your review is going. |
👋 @mattpitkin, please update us on how your review is going. |
@whedon @fboehm I'm just waiting on @JohannesBuchner to address my above minor comments on the paper and then I can sign-off the review. |
I'm sorry human, I don't understand that. You can see what commands I support by typing:
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Here you go: In their package/paper, J. Buchner introduces a general-purpose Bayesian-inference approach for parameter estimation and model comparison. I was able to easily install the package and reproduce the examples in tutorials. The paper itself is written in a clear and concise manner. My only suggestion is to improve documentation of individual functions according to one of the accepted styles (reST, Google-style, Numpydoc, etc.). For example, currently, most of the package's functions just have this
But it should be expanded to something like this:
After this I will be happy to recommend the acceptance of this paper. |
I haven't had time yet to address Matt's comment, but just as a quick reply: This convention is from PEP 257, section "One-line Docstrings". I use it for simple functions where I believed the function name, the argument names and the one-line docstring give sufficient documentation. If you have a list of functions which are unclear, I am happy to expand the documentation. |
@JohannesBuchner - Would it be feasible to update the documentation as suggested by @ziatdinovmax? I get the impression that the suggestion is more comprehensive than what is currently written. THanks! |
@JohannesBuchner thanks for the updates. If you could just address #3001 (comment) I'll sign-off my final tick box for the review. |
I'm sorry @JohannesBuchner, I'm afraid I can't do that. That's something only editor-in-chiefs are allowed to do. |
Ah ok, wasn't sure if that was for me. All ready from my side. |
So why is there a giant pile of missing or invalid dois? |
@JohannesBuchner I'm looking at your Zenodo archives and they look out of order. The most recent one is associated with an older version of the code. Can I verify this is the correct DOI even though Zenodo tells me there is a more recent one when I click on it: 10.5281/zenodo.4636924. |
@JohannesBuchner Just a couple of notes for your paper:
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@kthyng - I verified that the dois in the generated pdf work. Should I also be concerned with the output of whedon's check on references? I had thought that it was imperfect. I don't know the algorithm that whedon uses for reference check. Does it look a the bib file? Do we need the bib file to contain only those references that are used in paper.md? Or is it ok if the bib file has unused references? |
Thanks, I think zenodo got confused there because I did a bunch at the same time. The latest version is now 3.2.0. |
@whedon set v3.2.0 as version |
I'm sorry @JohannesBuchner, I'm afraid I can't do that. That's something only editors are allowed to do. |
Thank you, these are fixed in the updated branch. |
@whedon generate pdf from branch joss-paper |
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@whedon set v3.2.0 as version |
OK. v3.2.0 is the version. |
@whedon set 10.5281/zenodo.4653423 as archive |
OK. 10.5281/zenodo.4653423 is the archive. |
@fboehm @JohannesBuchner As long as the DOIs in the paper are ok, it is fine. I would be remiss not to check in though with the unusual listing of doi's coming through our whedon check. |
Looks like everything is in order now! |
@whedon accept deposit=true from branch joss-paper |
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🐦🐦🐦 👉 Tweet for this paper 👈 🐦🐦🐦 |
🚨🚨🚨 THIS IS NOT A DRILL, YOU HAVE JUST ACCEPTED A PAPER INTO JOSS! 🚨🚨🚨 Here's what you must now do:
Any issues? Notify your editorial technical team... |
Congrats on your new publication @JohannesBuchner! Thanks to editor @fboehm and reviewers @mattpitkin and @ziatdinovmax for your hard work, time, and expertise!! |
🎉🎉🎉 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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Many thanks @mattpitkin and @ziatdinovmax for your useful comments, and @fboehm for the guidance through the process. It helped me a lot, as this was my first submission! |
Submitting author: @JohannesBuchner (Johannes Buchner)
Repository: https://github.com/JohannesBuchner/UltraNest/
Version: v3.2.0
Editor: @fboehm
Reviewer: @mattpitkin, @ziatdinovmax
Archive: 10.5281/zenodo.4653423
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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