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[PRE REVIEW]: BSAVI: Bayesian Sample Visualizer for Cosmological Likelihoods #6184
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Five most similar historical JOSS papers: Bayesian X-ray Analysis (BXA) v4.0 uravu: Making Bayesian modelling easy(er) sbi: A toolkit for simulation-based inference MCMCvis: Tools to Visualize, Manipulate, and Summarize MCMC Output fgivenx: A Python package for functional posterior plotting |
@wen-jams – thanks for your submission to JOSS. As this submission is rather small, I'm going to start a scope review by the JOSS editorial team. This will likely take a couple of weeks. |
@editorialbot query scope |
Submission flagged for editorial review. |
@wen-jams - thanks for your submission to JOSS. Unfortunately, after review by the JOSS editorial team we've determined that this submission doesn't meet our substantial scholarly effort criterion. One possible alternative to JOSS is to follow GitHub's guide on how to create a permanent archive and DOI for your software. This DOI can then be used by others to cite your work. |
@editorialbot reject |
Paper rejected. |
Hello! Thanks for your review. May I ask which specific substantial scholarly effort criteria I didn't meet? |
Submitting author: @wen-jams (James Wen)
Repository: https://github.com/wen-jams/bsavi
Branch with paper.md (empty if default branch):
Version: v0.4.0
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
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