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[PRE REVIEW]: Taweret: a Python package for Bayesian model mixing #6046
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Hi @ominusliticus, thanks for your submission to JOSS. Unfortunately, we do not have an editor available to handle your submission right now, so I have to put this on our waitlist until someone frees up. In the meantime, I'd welcome any reviewer suggestions, and we can get the paper compilation fixed. Can you remove the |
@editorialbot add me as editor 🤚 I can take this one! |
Assigned! @rkurchin is now the editor |
👋 @seandamiandevine and @thodson-usgs, would you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
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Five most similar historical JOSS papers: swyft: Truncated Marginal Neural Ratio Estimation in Python pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis bmm: Bayesian Map-matching Multiple Inference: A Python package for comparing multiple parameters uravu: Making Bayesian modelling easy(er) |
I don't think I will be available to review this article in a timely manner, but I can suggest @m-clark who's expertise in Bayesian mixture modeling might overlap with this. |
👋 @m-clark, @arm61, and/or @julienmalard, would you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
I can review @rkurchin . |
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@julienmalard added to the reviewers list! |
@julienmalard this submission is currently in pre-review; once I find at least one more reviewer, a new review issue will be opened where there will be instructions for generating and completing your review checklist – we try to keep things very clear, but feel free to ask if you have any questions during the process! |
@eigenfoo and/or @ejhigson, would you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
Sorry for the delay in replying. Unfortunately with my current teaching load, I don't have the bandwidth to review this paper at the moment. |
Likewise sorry for the slow reply!I'm afraid I have left academia and don't have capacity to do these reviews anymore sorry. Good luck with the submission!EdOn 19 Dec 2023, at 13:56, Andrew McCluskey ***@***.***> wrote:
Sorry for the delay in replying. Unfortunately with my current teaching load, I don't have the bandwidth to review this paper at the moment.
—Reply to this email directly, view it on GitHub, or unsubscribe.You are receiving this because you were mentioned.Message ID: ***@***.***>
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👋 @dsbowen and/or @gchure, you be willing to review this submission for JOSS? We carry out our checklist-driven reviews here in GitHub issues and follow these guidelines: https://joss.readthedocs.io/en/latest/review_criteria.html |
Hi @rkurchin, I'm happy to review this work (though, I will likely take 2 weeks). |
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OK, I've started the review over in #6175. |
Submitting author: @ominusliticus (Kevin Ingles)
Repository: https://github.com/bandframework/Taweret.git
Branch with paper.md (empty if default branch): joss-submission
Version: v1.0.0
Editor: @rkurchin
Reviewers: @julienmalard, @gchure
Managing EiC: Kyle Niemeyer
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