[PRE REVIEW]: A Python package for conditional synthetic data generation using Copulas

[editorialbot]

Submitting author: @ziast (Ming Zhen Tan)
Repository: https://github.com/BiomedDAR/copula-tabular
Branch with paper.md (empty if default branch):
Version: v.0.1.3
Editor: Pending
Reviewers: Pending
Managing EiC: Arfon Smith

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Software report:

github.com/AlDanial/cloc v 1.88  T=0.19 s (543.7 files/s, 138327.5 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
SVG                              2              0            310           9423
Python                          42           2508           2604           6613
Markdown                        48            757              0           3382
TeX                              1             10              0            103
YAML                             3             14             17             82
HTML                             5             18              7             67
JavaScript                       1              4              4             26
-------------------------------------------------------------------------------
SUM:                           102           3311           2942          19696
-------------------------------------------------------------------------------


gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 562

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1051/0004-6361/201629272 is OK
- 10.1051/0004-6361/201322068 is OK

MISSING DOIs

- 10.1109/icdmw51313.2020.00082 may be a valid DOI for title: Sync: A copula based framework for generating synthetic data from aggregated sources
- 10.3390/s19051181 may be a valid DOI for title: SynSys: A synthetic data generation system for healthcare applications

INVALID DOIs

- None

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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[arfon]

@ziast - thanks for your submission to JOSS. We're currently managing a large backlog of submissions and the editor most appropriate for your area is already rather busy.

For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience!

[ziast]

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[ziast]

@editorialbot generate preprint

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📄 Preprint file created: Find it here in the Artifacts list 📄

[ziast]

@editorialbot withdraw

[editorialbot]

I'm sorry @ziast, I'm afraid I can't do that. That's something only eics are allowed to do.

[ziast]

@arfon, Hi, we would like to withdraw our submission due to licensing policy changes. Would you be able to help? Thanks.

[danielskatz]

@editorialbot withdraw

[editorialbot]

Paper withdrawn.