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[PRE REVIEW]: simK: Synthetic Data on Kidney Transplantation #6216
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Five most similar historical JOSS papers: simstudy: Illuminating research methods through data generation graphsim: An R package for simulating gene expression data from graph structures of biological pathways kep_solver: A Python package for kidney exchange programme exploration MCSD: A MATLAB Tool for Monte-Carlo Simulations of Diffusion in biological Tissues secuTrialR: Seamless interaction with clinical trial databases in R |
@balima78 thanks for this submission to JOSS. I am the AEiC on this track and here to process initial steps. I am currently trying to determine if this work is in scope for JOSS. Could you please clarify what aspects, in terms of lines of code, from the above software report constitutes your original work/contribution? For this type of R-projects typically the core achievement is the R-code itself (here 519 lines), and the JavaScript/HTML code is automatically generated e.g. to enable a GUI/web tool environment. Can you confirm this please? |
@Kevin-Mattheus-Moerman Yes, I confirm that my core achievement is the R-code itself. |
@balima78 the editorial board have unfortunately concluded that this work is not in scope for JOSS. In particular the small size cause it to not conform to our substantial scholarly effort criteria. We will now proceed to reject this submission. Note the above conclusion does not mean the work is not useful or not of a high quality, it merely means that given its rather small size it is not in scope for JOSS. We do hope you will consider JOSS for any future (re)submissions of a more substantial magnitude. |
@editorialbot reject |
Paper rejected. |
Submitting author: @balima78 (Bruno A Lima)
Repository: https://github.com/txopen/simK
Branch with paper.md (empty if default branch):
Version: v0.2.1
Editor: Pending
Reviewers: Pending
Managing EiC: Kevin M. Moerman
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