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[PRE REVIEW]: Pyglmnet: Python implementation of elastic-net regularized generalized linear models #1921
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Hello human, I'm @whedon, a robot that can help you with some common editorial tasks. For a list of things I can do to help you, just type:
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What happens now? This submission is currently in a You can help the editor by looking at this list of potential reviewers to identify individuals who might be able to review your submission (please start at the bottom of the list). Also, feel free to suggest individuals who are not on this list by mentioning their GitHub handles here. |
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@jasmainak thanks for your submission. Can you check those missing DOI's? ☝️ |
@arokem @akeshavan @mbobra can one of you edit this submission? Thanks |
Thanks to @geektoni, the missing DOIs should be fixed now! |
Sure. I can take this one. |
@whedon assign arokem as editor |
OK, the editor is arokem |
👋 @b-freitas : would you be willing to review this article for JOSS? |
👋 @ryEllison : would you be willing to review this article for JOSS? |
@whedon generate pdf |
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👋 @nmoran : would you be willing to review this paper for JOSS? |
👋 @Zoomelectrico: would you be willing to review this paper for JOSS? |
👋 @prateekiiest: would you be willing to review this paper for JOSS? |
👋 @professoralkmin: would you be willing to review this paper for JOSS? |
Yes.
R
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On Dec 2, 2019, at 2:35 PM, Ariel Rokem ***@***.***> wrote:
👋 @ryEllison : would you be willing to review this article for JOSS?
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Yes
Em seg, 16 de dez de 2019 10:31 AM, ryEllison <[email protected]>
escreveu:
… Yes.
R
Sent from my iPhone
> On Dec 2, 2019, at 2:35 PM, Ariel Rokem ***@***.***>
wrote:
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> 👋 @ryEllison : would you be willing to review this article for JOSS?
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@whedon assign professoralkmin as reviewer |
OK, the reviewer is professoralkmin |
@whedon add ryEllison as reviewer |
OK, ryEllison is now a reviewer |
@whedon start review |
OK, I've started the review over in #1959. Feel free to close this issue now! |
@ryEllison @professoralkmin : thank you both for taking this on! I've started the review over on #1959, so head over there for your checklists. Please let me know if you have any questions. Feel free to post issues on the software repository related to this review, and feel free to tag me into issues if any questions come up. |
Submitting author: @jasmainak (Mainak Jas)
Repository: https://github.com/glm-tools/pyglmnet/
Version: v1.1
Editor: @arokem
Reviewers: professoralkmin, ryEllison
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