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[PRE REVIEW]: Two R packages for matrix operations using Intel oneMKL #5895
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Couldn't check the bibtex because branch name is incorrect: paper |
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Couldn't check the bibtex because branch name is incorrect: paper |
@editorialbot set main as branch |
Done! branch is now main |
@editorialbot generate pdf |
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Five most similar historical JOSS papers: mlpack 3: a fast, flexible machine learning library kerasR: R Interface to the Keras Deep Learning Library nnTensor: An R package for non-negative matrix/tensor decomposition Ginkgo: A high performance numerical linear algebra library iml: An R package for Interpretable Machine Learning |
@R-OneMKL – due to the relatively small size of this code, the editors will now discuss if it meets the substantial scholarly effort criterion for review by JOSS. We should get back to you sometime next week. If you want to fix the DOIs (noting that @editorialbot's suggestions are not always right), you can, then use the following commands (one at a time, as the first line of a new comment) to regenerate the PDF and check the references. @editorialbot generate pdf |
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Submission flagged for editorial review. |
@R-OneMKL - 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. |
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Paper rejected. |
Submitting author: @R-OneMKL (Pei-Shan Yen)
Repository: https://github.com/R-OneMKL/oneMKL.MatrixCal
Branch with paper.md (empty if default branch): main
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith
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