Closed whedon closed 3 years ago
Hello human, I'm @whedon, a robot that can help you with some common editorial tasks.
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Software report (experimental):
github.com/AlDanial/cloc v 1.88 T=0.06 s (396.2 files/s, 52093.9 lines/s)
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Language files blank comment code
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Python 19 539 677 1522
Markdown 1 23 0 128
TeX 1 5 0 61
reStructuredText 1 57 45 51
SVG 1 0 0 34
YAML 1 0 0 14
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SUM: 24 624 722 1810
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Statistical information for the repository 'e9b0a6c4140f716fa8fd041a' was
gathered on 2021/02/04.
The following historical commit information, by author, was found:
Author Commits Insertions Deletions % of changes
Alexander Fabisch 106 3381 642 99.48
Joao Felipe Santos 2 10 11 0.52
Below are the number of rows from each author that have survived and are still
intact in the current revision:
Author Rows Stability Age % in comments
Alexander Fabisch 2730 80.7 36.9 5.60
Joao Felipe Santos 8 80.0 69.1 0.00
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.1109/TSMCB.2006.886952 is OK
- 10.1016/j.neunet.2015.05.005 is OK
MISSING DOIs
- None
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Hi @terrytangyuan, could you edit this submission?
@whedon invite @terrytangyuan as editor
@terrytangyuan has been invited to edit this submission.
Sorry I am a little overloaded at the moment and it would be great if you could find others to edit.
@terrytangyuan that's alright, will do.
@mikldk, could you edit this submission?
@whedon invite @mikldk as editor
@mikldk has been invited to edit this submission.
@whedon assign me as editor
OK, the editor is @mikldk
@AlexanderFabisch - thanks for this submission.
Can you please maybe comment on how your contribution relates to the mclust
package in R
, see e.g. https://mclust-org.github.io/mclust/ where also a few publications are mentioned, including Fraley C. and Raftery A. E. (2002) Model-based clustering, discriminant analysis and density estimation, Journal of the American Statistical Association, 97/458, pp. 611-631.
Do you have any suggestions for reviewers?
Hi @mikldk,
if I didn't miss anything, mclust focuses on clustering and density estimation, while gmr focuses on multimodal regression. mclust is an R package and gmr is a Python package.
I am sorry, I don't have any suggestion for a reviewer, requirements would be knowledge about Python and machine learning or something similar.
@oesteban, @benjamin-lee: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know.
@oesteban, @benjamin-lee: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know.
@juliensiebert, @acguidoum: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know.
I'm always happy to help with JOSS reviews but this is out of my area. Sorry I can't help!
@vs74, @inakleinbottle: Would you be interested in reviewing this submission to The Journal of Open Source Software? Reviews are open and based on a checklist. The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. If you have any questions or concerns please let me know.
Hey @mikldk, thanks for tagging me. I would be glad to review this submission.
@mikldk I'd be happy to review the submission.
@whedon assign @vs74 as reviewer
OK, @vs74 is now a reviewer
@whedon add @inakleinbottle as reviewer
OK, @inakleinbottle is now a reviewer
@whedon start review
OK, I've started the review over in https://github.com/openjournals/joss-reviews/issues/3054.
Submitting author: @AlexanderFabisch (Alexander Fabisch) Repository: https://github.com/AlexanderFabisch/gmr Version: 1.4 Editor: @mikldk Reviewers: @vs74, @inakleinbottle Managing EiC: Kyle Niemeyer
:warning: JOSS reduced service mode :warning:
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
Author instructions
Thanks for submitting your paper to JOSS @AlexanderFabisch. Currently, there isn't an JOSS editor assigned to your paper.
@AlexanderFabisch if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). In addition, this list of people have already agreed to review for JOSS and may be suitable for this submission (please start at the bottom of the list).
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